research related skills

Explore Jobs

• Jobs Near Me
• Remote Jobs
• Full Time Jobs
• Part Time Jobs
• Entry Level Jobs
• Work From Home Jobs

Find Specific Jobs

• $15 Per Hour Jobs
• $20 Per Hour Jobs
• Hiring Immediately Jobs
• High School Jobs
• H1b Visa Jobs

Explore Careers

• Business And Financial
• Architecture And Engineering
• Computer And Mathematical

Explore Professions

• What They Do
• Certifications
• Demographics

Best Companies

• Health Care
• Fortune 500

Explore Companies

• CEO And Executies
• Resume Builder
• Career Advice
• Explore Majors
• Questions And Answers
• Interview Questions

The Most Important Research Skills (With Examples)

• What Are Hard Skills?
• What Are Technical Skills?
• What Are What Are Life Skills?
• What Are Social Media Skills Resume?
• What Are Administrative Skills?
• What Are Analytical Skills?
• What Are Research Skills?
• What Are Transferable Skills?
• What Are Microsoft Office Skills?
• What Are Clerical Skills?
• What Are Computer Skills?
• What Are Core Competencies?
• What Are Collaboration Skills?
• What Are Conflict Resolution Skills?
• What Are Mathematical Skills?
• How To Delegate

Find a Job You Really Want In

Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate.

Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research.

Key Takeaways

Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money.

Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources.

You can and should put your research skills on your resume and highlight them in your job interviews.

What are research skills?

Why are research skills important, 12 of the most important research skills, how to improve your research skills, highlighting your research skills in a job interview, how to include research skills on your resume, resume examples showcasing research skills, research skills faqs.

• Sign Up For More Advice and Jobs

Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

How useful was this post?

Click on a star to rate it!

Average rating / 5. Vote count:

No votes so far! Be the first to rate this post.

Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

Recent Job Searches

• Registered Nurse Jobs Resume Location
• Truck Driver Jobs Resume Location
• Call Center Representative Jobs Resume Location
• Customer Service Representative Jobs Resume
• Delivery Driver Jobs Resume Location
• Warehouse Worker Jobs Resume Location
• Account Executive Jobs Resume Location
• Sales Associate Jobs Resume Location
• Licensed Practical Nurse Jobs Resume Location
• Company Driver Jobs Resume

Related posts

Important Multitasking Skills Employers Value (With Examples)

Conflict Resolution Skills: What They Are And Examples

What Is Aptitude And Why Do You Need To Know About It?

How To Give An Effective Presentation (With Examples)

• Career Advice >
• Hard Skills >
• Research Skills

What are research skills?

Last updated

26 April 2023

Reviewed by

Broadly, it includes a range of talents required to:

Find useful information

Perform critical analysis

Form hypotheses

Solve problems

It also includes processes such as time management, communication, and reporting skills to achieve those ends.

Research requires a blend of conceptual and detail-oriented modes of thinking. It tests one's ability to transition between subjective motivations and objective assessments to ensure only correct data fits into a meaningfully useful framework.

As countless fields increasingly rely on data management and analysis, polishing your research skills is an important, near-universal way to improve your potential of getting hired and advancing in your career.

Make research less tedious

Dovetail streamlines research to help you uncover and share actionable insights

What are basic research skills?

Almost any research involves some proportion of the following fundamental skills:

Organization

Decision-making

Investigation and analysis

Creative thinking

What are primary research skills?

The following are some of the most universally important research skills that will help you in a wide range of positions:

Time management — From planning and organization to task prioritization and deadline management, time-management skills are highly in-demand workplace skills.

Problem-solving — Identifying issues, their causes, and key solutions are another essential suite of research skills.

Critical thinking — The ability to make connections between data points with clear reasoning is essential to navigate data and extract what's useful towards the original objective.

Communication — In any collaborative environment, team-building and active listening will help researchers convey findings more effectively through data summarizations and report writing.

What are the most important skills in research?

Detail-oriented procedures are essential to research, which allow researchers and their audience to probe deeper into a subject and make connections they otherwise may have missed with generic overviews.

Maintaining priorities is also essential so that details fit within an overarching strategy. Lastly, decision-making is crucial because that's the only way research is translated into meaningful action.

• Why are research skills important?

Good research skills are crucial to learning more about a subject, then using that knowledge to improve an organization's capabilities. Synthesizing that research and conveying it clearly is also important, as employees seek to share useful insights and inspire effective actions.

Effective research skills are essential for those seeking to:

Analyze their target market

Investigate industry trends

Identify customer needs

Detect obstacles

Find solutions to those obstacles

Develop new products or services

Develop new, adaptive ways to meet demands

Discover more efficient ways of acquiring or using resources

Why do we need research skills?

Businesses and individuals alike need research skills to clarify their role in the marketplace, which of course, requires clarity on the market in which they function in. High-quality research helps people stay better prepared for challenges by identifying key factors involved in their day-to-day operations, along with those that might play a significant role in future goals.

• Benefits of having research skills

Research skills increase the effectiveness of any role that's dependent on information. Both individually and organization-wide, good research simplifies what can otherwise be unwieldy amounts of data. It can help maintain order by organizing information and improving efficiency, both of which set the stage for improved revenue growth.

Those with highly effective research skills can help reveal both:

Opportunities for improvement

Brand-new or previously unseen opportunities

Research skills can then help identify how to best take advantage of available opportunities. With today's increasingly data-driven economy, it will also increase your potential of getting hired and help position organizations as thought leaders in their marketplace.

• Research skills examples

Being necessarily broad, research skills encompass many sub-categories of skillsets required to extrapolate meaning and direction from dense informational resources. Identifying, interpreting, and applying research are several such subcategories—but to be specific, workplaces of almost any type have some need of:

Searching for information

Attention to detail

Taking notes

Problem-solving

Communicating results

Time management

• How to improve your research skills

Whether your research goals are to learn more about a subject or enhance workflows, you can improve research skills with this failsafe, four-step strategy:

Make an outline, and set your intention(s)

Know your sources

Learn to use advanced search techniques

Practice, practice, practice (and don't be afraid to adjust your approach)

These steps could manifest themselves in many ways, but what's most important is that it results in measurable progress toward the original goals that compelled you to research a subject.

• Using research skills at work

Different research skills will be emphasized over others, depending on the nature of your trade. To use research most effectively, concentrate on improving research skills most relevant to your position—or, if working solo, the skills most likely have the strongest impact on your goals.

You might divide the necessary research skills into categories for short, medium, and long-term goals or according to each activity your position requires. That way, when a challenge arises in your workflow, it's clearer which specific research skill requires dedicated attention.

How can I learn research skills?

Learning research skills can be done with a simple three-point framework:

Clarify the objective — Before delving into potentially overwhelming amounts of data, take a moment to define the purpose of your research. If at any point you lose sight of the original objective, take another moment to ask how you could adjust your approach to better fit the original objective.

Scrutinize sources — Cross-reference data with other sources, paying close attention to each author's credentials and motivations.

Organize research — Establish and continually refine a data-organization system that works for you. This could be an index of resources or compiling data under different categories designed for easy access.

Which careers require research skills?

Especially in today's world, most careers require some, if not extensive, research. Developers, marketers, and others dealing in primarily digital properties especially require extensive research skills—but it's just as important in building and manufacturing industries, where research is crucial to construct products correctly and safely.

Engineering, legal, medical, and literally any other specialized field will require excellent research skills. Truly, almost any career path will involve some level of research skills; and even those requiring only minimal research skills will at least require research to find and compare open positions in the first place.

Should you be using a customer insights hub?

Do you want to discover previous research faster?

Do you share your research findings with others?

Do you analyze research data?

Start for free today, add your research, and get to key insights faster

Editor’s picks

Last updated: 11 January 2024

Last updated: 15 January 2024

Last updated: 25 November 2023

Last updated: 12 May 2023

Last updated: 30 April 2024

Last updated: 18 May 2023

Last updated: 10 April 2023

Latest articles

Related topics, .css-je19u9{-webkit-align-items:flex-end;-webkit-box-align:flex-end;-ms-flex-align:flex-end;align-items:flex-end;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-flex-direction:row;-ms-flex-direction:row;flex-direction:row;-webkit-box-flex-wrap:wrap;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;-webkit-box-pack:center;-ms-flex-pack:center;-webkit-justify-content:center;justify-content:center;row-gap:0;text-align:center;max-width:671px;}@media (max-width: 1079px){.css-je19u9{max-width:400px;}.css-je19u9>span{white-space:pre;}}@media (max-width: 799px){.css-je19u9{max-width:400px;}.css-je19u9>span{white-space:pre;}} decide what to .css-1kiodld{max-height:56px;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}@media (max-width: 1079px){.css-1kiodld{display:none;}} build next, decide what to build next.

Users report unexpectedly high data usage, especially during streaming sessions.

Users find it hard to navigate from the home page to relevant playlists in the app.

It would be great to have a sleep timer feature, especially for bedtime listening.

I need better filters to find the songs or artists I’m looking for.

Log in or sign up

Get started for free

10 Research Skills and How To Develop Them

• Updated December 25, 2023
• Published August 8, 2023

Are you looking to learn more about Research skills? In this article, we discuss Research skills in more detail and give you tips about how you can develop and improve them.

What are Research skills?

Research skills refer to the ability to effectively and efficiently gather, analyze, and synthesize information to answer questions, solve problems, or contribute to a body of knowledge. These skills are essential for various fields and disciplines, ranging from academic and scientific research to business, journalism, and beyond. Effective research skills involve several key components:

Information Retrieval

Source evaluation.

• Critical Thinking

Data Analysis

Problem formulation, organization and note-taking, synthesis and writing, ethical considerations, time management.

• Adaptability

Top 10 Research Skills

Below we discuss the top 10 Research skills. Each skill is discussed in more detail, and we will also give you tips on improving them.

Information Retrieval is all about mastering the art of finding relevant and credible sources of information to support your research goals. This skill involves using various online and offline tools to locate the data, articles, studies, and materials that are most pertinent to your research topic. It’s like being a detective for knowledge – you’re trying to uncover valuable insights that will contribute to your research project.

To excel in Information Retrieval, you must become adept at effectively using search engines, databases, libraries, and other resources. It’s not just about typing keywords into a search bar; it’s about understanding how to refine your searches, use advanced search operators, and explore different databases and sources.

You’ll need to evaluate the quality and reliability of sources to ensure that the information you gather is trustworthy and accurate. This skill also requires critical thinking, as you’ll need to assess the relevance of sources to your research objectives.

How to Improve Information Retrieval

Improving your Information Retrieval skills involves a combination of practice, strategy, and awareness. Start by familiarizing yourself with different research databases and libraries relevant to your field. Experiment with various search terms and use advanced search operators to narrow down results. Take the time to evaluate the credibility of sources – look for peer-reviewed articles, authoritative authors, and reliable institutions. Keep track of your searches and results to refine your strategies over time.

Stay updated with the latest developments in search technology and research databases to optimize your information retrieval process. Remember, the more you practice and fine-tune your approach, the better you’ll become at uncovering valuable gems of information for your research endeavors.

Source Evaluation is about becoming a discerning judge of the information you encounter during your research journey. It involves assessing the credibility, reliability, and relevance of the sources you come across, ensuring that you’re building your work on a foundation of trustworthy and accurate information. Think of yourself as a gatekeeper, using only the most reliable and relevant sources to support your research.

You need to develop a critical eye to enhance your Source Evaluation skills. Begin by examining the authorship – who wrote the source, and what are their credentials? Peer-reviewed articles from established researchers are more reliable than anonymous blog posts. Consider the publication source – is it a reputable journal or website in your field?

Next, look for citations and references within the source – a well-researched work will often cite other credible sources. Additionally, evaluate the publication date – while older sources can provide historical context, ensure you’re using recent information for up-to-date insights.

How to Improve Source Evaluation

Improving your Source Evaluation skills requires a combination of awareness and practice. As you encounter new sources, ask questions about their credibility and relevance. Do evidence and references support the information? Does the author have any potential biases? Take advantage of critical thinking to analyze the source’s overall quality.

To further refine your skills, seek guidance from mentors, professors, or librarians who can provide valuable insights into evaluating sources. The more you engage with this skill, the better you’ll become at building a solid foundation for your research with credible and reliable materials.

Critical Thinking is the intellectual toolset that empowers you to analyze information objectively, discern patterns, and draw well-informed conclusions based on evidence. It’s like being a detective for ideas – you sift through data, identify biases, and unravel complexities to make informed judgments that drive your research forward with clarity and precision.

To hone your Critical Thinking skills, you need to cultivate a curious and analytical mindset. Start by questioning assumptions and biases in both your own thinking and the information you encounter.

When evaluating sources, consider multiple viewpoints and sources of evidence before forming conclusions. Develop the ability to identify logical fallacies or weak arguments that may distort the validity of your findings. Embrace open-mindedness and be willing to adapt your ideas when faced with compelling evidence that challenges your initial perspective.

How to Improve Critical Thinking

Improving your Critical Thinking skills requires practice and deliberate effort. Engage in discussions and debates within your field and beyond to expose yourself to diverse perspectives and sharpen your ability to analyze complex issues. Regularly challenge yourself to critically evaluate information, whether it’s a news article, a research paper, or a colleague’s argument.

Seek feedback from mentors or peers to refine your critical thinking process and identify areas for improvement. Remember, Critical Thinking is an ongoing journey that can be developed over time – the more you engage with it, the more adept you’ll become at navigating the intricate landscape of ideas in your research endeavors.

Related :  Critical Thinking Interview Questions & Answers

Data Analysis is the art of processing, interpreting, and extracting meaningful insights from the raw information you’ve collected during your research journey. Think of it as deciphering a puzzle – you’re transforming numbers, observations, or qualitative data into a coherent narrative that answers your research questions and adds value to your work.

To excel in Data Analysis, you need to develop both quantitative and qualitative skills. For quantitative data, embrace statistical tools and techniques that help you identify trends, correlations, and patterns in your data sets. Practice using software like Excel, SPSS, or specialized tools for your field to perform statistical tests and visualize results effectively. For qualitative data, immerse yourself in the details, coding and categorizing themes to distill rich insights from textual or visual sources.

How to Improve Data Analysis

Improving your Data Analysis skills involves a combination of practice, learning, and refining your techniques. Start by immersing yourself in the basics of statistics and data analysis methodologies relevant to your research field. Engage in tutorials and online courses to familiarize yourself with various tools and software. As you analyze data, maintain clear documentation of your process and decisions, which will be crucial when presenting your findings.

Collaborate with peers or mentors who are experienced in data analysis to gain insights and feedback on your techniques. Remember, Data Analysis is about transforming data into knowledge – the more you engage with this skill, the better you’ll become at uncovering valuable insights that contribute to the depth and impact of your research.

Related :  Research Interview Questions & Answers

Problem Formulation is like setting the compass for your research journey – it involves defining clear and focused research questions or hypotheses that guide your entire investigation. Consider it the foundation of your work, as it shapes your approach, methods, and the ultimate impact of your research.

To master Problem Formulation, you need to become skilled in asking the right questions. Begin by thoroughly understanding the topic you’re exploring. What gaps or uncertainties do you notice in the existing knowledge? What specific aspect of the topic piques your interest? Craft research questions that are specific, measurable, achievable, relevant, and time-bound (SMART).

If you’re developing hypotheses, ensure they are testable and grounded in existing theories or observations. Your skills in Problem Formulation also extend to identifying the scope and boundaries of your research – understanding what you’re including and excluding from your study.

How to Improve Problem Formulation

Improving your Problem Formulation skills requires practice and iterative refinement. Start by conducting a comprehensive literature review to understand the existing research landscape in your area. This will help you identify potential gaps and formulate questions that build upon existing knowledge.

Discuss with peers, mentors, or experts in your field to gain different perspectives and insights into potential research problems. As you develop your skills, be open to revising and refining your research questions based on new information or insights. Remember, Problem Formulation is the compass that guides your research journey – the more you invest in crafting clear and well-defined questions, the more impactful and focused your research will be.

Related :  10 Fact Finding Skills and How to Develop Them

Imagine these skills as your research toolkit for maintaining order amidst the vast sea of information you encounter. Organization involves structuring and managing your research materials, while Note-Taking ensures you capture valuable insights and details for future reference. Together, they help you stay on track and prevent valuable information from slipping through the cracks.

To excel in Organization and Note-Taking, you need to develop strategies that work best for you. Start by creating a systematic folder structure on your computer to store digital documents, articles, and data sets. For physical materials, consider using labeled folders or binders. As you gather information, employ tools like reference management software to keep track of your sources and generate citations efficiently.

Simultaneously, practice effective Note-Taking during your readings and research. Jot down key points, ideas, and relevant quotes in a structured format, whether you’re using a physical notebook or a digital note-taking app.

How to Improve Organization and Note-Taking

Improving your Organization and Note-Taking skills requires a mix of discipline and adaptability. Establish consistent routines for organizing research materials, updating folders, and managing citations. Regularly review and reorganize your notes to keep them relevant and accessible. Experiment with different note-taking techniques, such as outlining, summarizing, or mind mapping, to find the approach that aligns with your learning style.

Remember, Organization and Note-Taking are your allies in navigating the sea of information – the more you refine these skills, the smoother your research journey will become and the more confident you’ll be in tackling complex topics.

Synthesis and Writing are your means of weaving together the threads of information and insights you’ve collected into a coherent and impactful narrative. Think of it as crafting a masterpiece from the puzzle pieces of your research – you’re presenting your findings, analysis, and conclusions in a way that informs and engages your audience.

To excel in Synthesis and Writing, you must become a data and idea storyteller. Begin by outlining your research paper or report. Organize your findings logically, building a structured framework that guides your reader through your research journey. Ensure each section flows smoothly, connecting the dots between concepts and evidence. While writing, focus on clarity and conciseness – avoid jargon and convoluted language that may confuse your readers. Use effective transitions to guide them from one point to the next.

How to Improve Synthesis and Writing

Improving your Synthesis and Writing skills requires both practice and revision. Start by breaking down the writing process into manageable steps – drafting, revising, and editing. Give yourself time between drafting and revising to approach your work with fresh eyes. Critically evaluate your writing for clarity, coherence, and accuracy during revision.

Consider seeking feedback from peers, mentors, or writing centers to gain insights into improving your writing style. Study well-written papers in your field to observe how experienced researchers present their ideas effectively. Remember, Synthesis and Writing are your tools for communicating your research’s impact – the more you refine these skills, the more effectively you’ll share your discoveries and contribute to the body of knowledge in your field.

Ethical Considerations encompass the principles and guidelines that ensure your research is conducted with integrity, respect for participants’ rights, and a commitment to transparency. Think of it as the moral compass that guides your research journey, ensuring that your work upholds ethical standards and contributes positively to society.

To excel in Ethical Considerations, you need to become a guardian of ethical integrity in your research. Begin by understanding the ethical guidelines and regulations specific to your field and your research type. This involves respecting participants’ autonomy by obtaining informed consent, protecting their privacy and confidentiality, and ensuring they’re treated with dignity. Additionally, uphold intellectual honesty by properly attributing sources, avoiding plagiarism, and disclosing any potential conflicts of interest.

How to Improve Ethical Considerations

Improving your Ethical Considerations skills involves a combination of awareness and vigilance. Regularly educate yourself on the ethical codes and regulations relevant to your field and research methods. When designing your research, carefully plan how you will address ethical concerns and potential risks.

As you conduct your research, stay attuned to any ethical dilemmas that may arise and be prepared to address them appropriately. Remember, Ethical Considerations are at the heart of responsible research – the more you cultivate these skills, the more your work will contribute positively to both your field and society as a whole.

Related :  Climate Change Analyst Interview Questions & Answers

Time Management involves the art of effectively allocating your time to different research tasks, ensuring that you meet deadlines, stay on track, and maintain a balanced workflow. Think of it as your compass for navigating the often-intricate landscape of research – it helps you stay organized, productive, and in control of your research journey.

To excel in Time Management, you need to become a master of planning and prioritization. Start by breaking down your research project into manageable tasks and setting realistic goals for each stage. Create a schedule that allocates research, data collection, analysis, writing, and revision time. Be mindful of your energy levels – tackle complex tasks during your most productive hours. Embrace tools like to-do lists, calendars, and time-tracking apps to keep yourself accountable and stay aware of your progress.

How to Improve Time Management

Improving your Time Management skills requires consistent practice and self-awareness. Continuously assess your progress against your planned schedule, adjusting as needed to accommodate unexpected challenges or new insights. Develop the skill of saying no to distractions and non-essential tasks that can derail your focus.

Break larger tasks into smaller, more manageable chunks to prevent feeling overwhelmed. Regularly reflect on your time allocation and efficiency – what strategies are working well, and where can you improve? Remember, Time Management is a skill that can significantly impact your research journey – the more you refine it, the more you’ll find yourself navigating your work with greater ease and achieving your research goals with greater success.

Related :  10 Coordinating Skills and How to Develop Them

Adaptability is the ability to flex and evolve in response to changing circumstances, unexpected findings, and new information that arise during your research journey. Think of it as your compass for navigating the dynamic and ever-changing landscape of research – it empowers you to embrace uncertainty and adjust your course to ensure the best outcomes for your work.

To excel in Adaptability, you need to cultivate a mindset that embraces change and seeks opportunities within challenges. Start by acknowledging that research is often full of surprises and plans might need to shift. Develop a sense of resilience by staying open to revising your research questions, altering methodologies, or exploring unanticipated angles.

Being adaptable also means being resourceful – finding alternative approaches when things don’t go as planned. Embrace feedback from peers, mentors, or unexpected results, and be ready to integrate this feedback to improve the quality of your research.

How to Improve Adaptability

Improving your Adaptability skills involves practicing flexibility and embracing a growth mindset. Regularly reassess your research plan and objectives in light of new information or developments. Embrace failures and setbacks as opportunities for learning and growth rather than roadblocks. Seek out interdisciplinary perspectives and engage with new ideas that challenge your assumptions.

As you navigate through unexpected turns, continuously reflect on what you’ve learned and how you’ve adapted, so you can refine your approach in the future. Remember, Adaptability is the key to thriving in the dynamic landscape of research – the more you foster this skill, the better equipped you’ll be to tackle unforeseen challenges and emerge stronger from your research journey.

Related :  Research Intern Cover Letter Examples & Writing Guide

Research Skills Conclusion

In the pursuit of knowledge and discovery, honing research skills is the linchpin that sets the stage for success. Throughout this exploration of various research skills and how to nurture them, one thing becomes evident: deliberate practice and continuous improvement are the bedrock of growth. Developing research skills is not merely a checkbox to mark; it’s a journey that empowers you to excel in your field, make meaningful contributions, and amplify the impact of your work.

Improving these skills isn’t just an option – it’s a necessity in today’s job market. The ability to gather information effectively, critically evaluate sources, analyze data, formulate problems, synthesize findings, and more, transforms the research process from a mere task into a dynamic and transformative experience. These skills serve as the pillars that uphold the credibility and validity of your work, ensuring that your contributions stand the test of scrutiny and time.

Related posts:

• 10 Life Skills Coach Skills and How to Develop Them
• Research Assistant vs. Research Coordinator – What’s The Difference?
• 10 Deductive Reasoning Skills and How to Develop Them
• 10 Fact Finding Skills and How to Develop Them
• 10 Technical Engineer Skills and How to Develop Them

Rate this article

Your page rank:

MegaInterview Company Career Coach

Step into the world of Megainterview.com, where our dedicated team of career experts, job interview trainers, and seasoned career coaches collaborates to empower individuals on their professional journeys. With decades of combined experience across diverse HR fields, our team is committed to fostering positive and impactful career development.

You may also be interested in:

10 nail technician skills and how to develop them, 10 creative writing skills and how to develop them, 10 financial management skills and how to develop them, 10 cash handling skills and how to develop them, interview categories.

• Interview Questions
• Cover Letter
• Interview Tips

Megainterview/Contact

• Career Interview Questions
• Write For Megainterview!
• Editorial Policy
• Privacy Policy / GDPR
• Terms & Conditions
• Contact: [email protected]

Sign-up for our newsletter

🤝 We’ll never spam you or sell your data

Popular Topics

• Accomplishments
• Career Change
• Career Goals
• Communication
• Conflict Resolution
• Creative Thinking
• Cultural Fit
• Customer Service
• Entry-Level & No Experience
• Growth Potential
• Honesty & Integrity
• Job Satisfaction
• Negotiation Skills
• Performance Based
• Phone Interview
• Problem-Solving
• Questions to Ask the Interviewer
• Salary & Benefits
• Situational & Scenario-Based
• Stress Management
• Time Management & Prioritization
• Uncomfortable
• Work Experience

Popular Articles

• What Is The Most Challenging Project You Have Worked On?
• Tell Me About a Time You Had to Deal With a Difficult Customer
• What Have You Done To Improve Yourself In The Past Year?
• Interview Question: How Do You Deal With Tight Deadlines?
• Describe a Time You Demonstrated Leadership
• Tell Me About a Time When You Took Action to Resolve a Problem
• Job Interview Questions About Working in Fast-Paced Environments
• Job Interview: What Areas Need Improvement? (+ Answers)
• Tell Me About a Time You Were On a Team Project That Failed
• Tell Me About a Time You Managed an Important Project

Our mission is to

Help you get hired.

Hofplein 20

3032 AC, Rotterdam, the Netherlands

Turn interviews into offers

Every other Tuesday, get our Chief Coach’s best job-seeking and interviewing tips to land your dream job. 5-minute read.

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case NPS+ Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research Research Tools and Apps

Research Skills: What they are and Benefits

Research skills play a vital role in the success of any research project, enabling individuals to navigate the vast sea of information, analyze data critically, and draw meaningful conclusions. Whether conducting academic research, professional investigations, or personal inquiries, strong research skills are essential for obtaining accurate and reliable results.

LEARN ABOUT:   Research Process Steps

By understanding and developing these skills, individuals can embark on their research endeavors with confidence, integrity, and the capability to make meaningful contributions in their chosen fields. This article will explore the importance of research skills and discuss critical competencies necessary for conducting a research project effectively.

Content Index

What are Research Skills?

Important research skills for research project, benefits of research skills.

• Improving your Research Skills

Talk to Experts to Improve Skills

Research skills are the capability a person carries to create new concepts and understand the use of data collection. These skills include techniques, documentation, and interpretation of the collected data. Research is conducted to evaluate hypotheses and share the findings most appropriately. Research skills improve as we gain experience.

To conduct efficient research, specific research skills are essential. These skills are necessary for companies to develop new products and services or enhance existing products. To develop good research skills is important for both the individual as well as the company.

When undertaking a research project, one must possess specific important skills to ensure the project’s success and accuracy. Here are some essential research skills that are crucial for conducting a project effectively:

Time Management Skills:

Time management is an essential research skill; it helps you break down your project into parts and enables you to manage it easier. One can create a dead-line oriented plan for the research project and assign time for each task. Time management skills include setting goals for the project, planning and organizing functions as per their priority, and efficiently delegating these tasks.

Communication Skills:

These skills help you understand and receive important information and also allow you to share your findings with others in an effective manner. Active listening and speaking are critical skills for solid communication. A researcher must have good communication skills.

Problem-Solving:  

The ability to handle complex situations and business challenges and come up with solutions for them is termed problem-solving. To problem-solve, you should be able to fully understand the extent of the problem and then break it down into smaller parts. Once segregated into smaller chunks, you can start thinking about each element and analyze it to find a solution.

Information gathering and attention to detail:

Relevant information is the key to good research design . Searching for credible resources and collecting information from there will help you strengthen your research proposal and drive you to solutions faster. Once you have access to information, paying close attention to all the details and drawing conclusions based on the findings is essential.

Research Design and Methodology :

Understanding research design and methodology is essential for planning and conducting a project. Depending on the research question and objectives, researchers must select appropriate research methods, such as surveys, experiments, interviews, or case studies. Proficiency in designing research protocols, data collection instruments, and sampling strategies is crucial for obtaining reliable and valid results.

Data Collection and Analysis :

Researchers should be skilled in collecting and analyzing data accurately. It involves designing data collection instruments, collecting data through various methods, such as surveys or observations, and organizing and analyzing the collected data using appropriate statistical or qualitative analysis techniques. Proficiency in using software tools like SPSS, Excel, or qualitative analysis software can be beneficial.

By developing and strengthening these research skills, researchers can enhance the quality and impact of their research process, contributing to good research skills in their respective fields.

Research skills are invaluable assets that can benefit individuals in various aspects of their lives. Here are some key benefits of developing and honing research skills:

Boosts Curiosity :

Curiosity is a strong desire to know things and a powerful learning driver. Curious researchers will naturally ask questions that demand answers and will stop in the search for answers. Interested people are better listeners and are open to listening to other people’s ideas and perspectives, not just their own.

Cultivates Self-awareness :

As well as being aware of other people’s subjective opinions, one must develop the importance of research skills and be mindful of the benefits of awareness research; we are exposed to many things while researching. Once we start doing research, the benefit from it reflects on the beliefs and attitudes and encourages them to open their minds to other perspectives and ways of looking at things.

Effective Communication:

Research skills contribute to practical communication skills by enhancing one’s ability to articulate ideas, opinions, and findings clearly and coherently. Through research, individuals learn to organize their thoughts, present evidence-based arguments, and effectively convey complex information to different audiences. These skills are crucial in academic research settings, professional environments, and personal interactions.

Personal and Professional Growth :

Developing research skills fosters personal and professional growth by instilling a sense of curiosity, intellectual independence, and a lifelong learning mindset. Research encourages individuals to seek knowledge, challenge assumptions, and embrace intellectual growth. These skills also enhance adaptability as individuals become adept at navigating and assimilating new information, staying updated with the latest developments, and adjusting their perspectives and strategies accordingly.

Academic Success:

Research skills are essential for academic research success. They enable students to conduct thorough literature reviews, gather evidence to support their arguments, and critically evaluate existing research. By honing their research skills, students can produce well-structured, evidence-based essays, projects, and dissertations demonstrating high academic research rigor and analytical thinking.

Professional Advancement:

Research skills are highly valued in the professional world. They are crucial for conducting market research, analyzing trends, identifying opportunities, and making data-driven decisions. Employers appreciate individuals who can effectively gather and analyze information, solve complex problems, and provide evidence-based recommendations. Research skills also enable professionals to stay updated with advancements in their field, positioning themselves as knowledgeable and competent experts.

Developing and nurturing research skills can significantly benefit individuals in numerous aspects of their lives, enabling them to thrive in an increasingly information-driven world.

Improving Your Research Skills

There are many things you can do to improve your research skills and utilize them in your research or day job. Here are some examples:

• Develop Information Literacy: Strengthening your information literacy skills is crucial for conducting thorough research. It involves identifying reliable sources, evaluating the credibility of information, and navigating different research databases.
• Enhance Critical Thinking: Critical thinking is an essential skill for effective research. It involves analyzing information, questioning assumptions, and evaluating arguments. Practice critical analysis by analyzing thoughtfully, identifying biases, and considering alternative perspectives.
• Master Research Methodologies: Familiarize yourself with different research methodologies relevant to your field. Whether it’s qualitative, quantitative, or mixed methods research, realizing the strengths and limitations of each approach is crucial.
• Practice Effective Time Management: Research requires dedicated time and effort. Develop good time management skills to ensure that you allocate sufficient time for each stage of the research process, including planning, data collection, analysis, and writing.
• Embrace Collaboration: Collaborating with peers and colleagues can provide a fresh perspective and enrich your research experience. Engage in discussions, share ideas, and seek feedback from others. Collaborative projects allow for exchanging knowledge and skills.
• Continuously Update Your Knowledge: Stay informed about your field’s latest developments and advancements. Regularly read scholarly articles, attend conferences, and follow reputable sources of information to stay up to date with current research trends.

There is plenty of information available on the internet about every topic; hence, learning skills to know which information is relevant and credible is very important. Today most search engines have the feature of advanced search, and you can customize the search as per your preference. Once you learn this skill, it will help you find information. 

Experts possess a wealth of knowledge, experience, and insights that can significantly enhance your understanding and abilities in conducting research. Experts have often encountered numerous challenges and hurdles throughout their research journey and have developed effective problem-solving techniques. Engaging with experts is a highly effective approach to improving research skills.

Moreover, experts can provide valuable feedback and constructive criticism on your research work. They can offer fresh perspectives, identify areas for improvement, and help you refine your research questions, methodology, and analysis.

At QuestionPro, we can help you with the necessary tools to carry out your projects, and we have created the following free resources to help you in your professional growth:

• Survey Templates

Research skills are invaluable assets that empower individuals to navigate the ever-expanding realm of information, make informed decisions, and contribute to advancing knowledge. With advanced research tools and technologies like QuestionPro Survey Software, researchers have potent resources to conduct comprehensive surveys, gather data, and analyze results efficiently.

Where data-driven decision-making is crucial, research skills supported by advanced tools like QuestionPro are essential for researchers to stay ahead and make impactful contributions to their fields. By embracing these research skills and leveraging the capabilities of powerful survey software, researchers can unlock new possibilities, gain deeper insights, and pave the way for meaningful discoveries.

Authors : Gargi Ghamandi & Sandeep Kokane

FREE TRIAL         LEARN MORE

MORE LIKE THIS

The Best Email Survey Tool to Boost Your Feedback Game

May 7, 2024

Top 10 Employee Engagement Survey Tools

Top 20 Employee Engagement Software Solutions

May 3, 2024

15 Best Customer Experience Software of 2024

May 2, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Training Tips
• Uncategorized
• Video Learning Series
• What’s Coming Up
• Workforce Intelligence

Mastering Research Skills: A Cornerstone For Success In Science

Explore the importance of research skills in science. Learn critical thinking, reliable sources, search engine tips, and time management.

Research Skills are a cornerstone of success in science, encompassing the abilities necessary to navigate knowledge acquisition and extensive research. These skills not only facilitate the discovery of new information but also contribute to them being thoroughly analyzed and implemented. Let’s delve into critical research skills and see how they form the backbone of a thriving scientific career.

Understanding The Essence Of Research Skills

Research skills encompass the methodologies and competencies employed to gather, assess, and synthesize information effectively. These skills go beyond mere data collection; they involve critical thinking, reliable source identification, active listening, and proficient time management.

Related article: Mastering Critical Reading: Uncover The Art Of Analyzing Texts

Research skills constitute the backbone of any successful inquiry process, serving as a comprehensive toolkit that extends beyond the superficial gathering of information. Beyond the initial data accumulation phase, these skills embody a multidimensional approach. 

Research skills further encompass active listening — an often underestimated yet pivotal aspect — enabling researchers to glean valuable insights from conversations, lectures, or expert discussions. This skill ensures a holistic understanding of the subject matter, enriching the depth of information gathered and enhancing the overall research process.

The Merits Of Proficient Research Skills

The benefits of cultivating strong research skills extend beyond the individual researcher; they reverberate throughout academic and professional realms. One of the primary advantages is the empowerment to make informed decisions based on a thorough understanding of the available data. Researchers with honed skills can navigate through vast datasets with efficiency, identifying patterns and correlations that might elude those with less developed research acumen.

Moreover, these skills are instrumental in fostering innovation. The ability to synthesize information from various sources, coupled with critical thinking, allows researchers to envision new possibilities and alternative approaches to longstanding problems. This capacity for creative thinking is a hallmark of individuals with advanced research skills and is often the driving force behind groundbreaking discoveries and advancements in scientific knowledge.

In the professional sphere, individuals with strong research skills are valuable assets to organizations. Their ability to gather, evaluate, and apply information contributes to effective problem-solving and decision-making. In industries driven by technological advancements and data-driven insights, research skills are increasingly becoming a sought-after and indispensable trait in employees.

Cultivating Critical Thinking In Research Endeavors

Critical thinking is the cornerstone upon which the edifice of scientific inquiry stands. Beyond merely gathering information, it involves a systematic approach to analyzing, evaluating, and interpreting data. This skill equips researchers with the ability to discern patterns, spot anomalies, and derive meaningful conclusions from complex datasets. Moreover, critical thinking in research facilitates the identification of potential biases, ensuring objectivity and rigor in the investigative process. It enables scientists to challenge established theories, fostering an environment of intellectual curiosity and continual exploration.

Also read: How To Avoid Bias In Research: Navigating Scientific Objectivity

Furthermore, honing critical thinking skills is essential in adapting to the rapidly evolving scientific landscape. As new information emerges and paradigms shift, researchers equipped with strong critical thinking abilities are better poised to adapt to changes, integrate new knowledge, and refine their approaches.

Why Critical Thinking Is Paramount In Research

In the realm of scientific inquiry, critical thinking serves as the linchpin for discerning between reliable and fallacious information. It is the foundation for formulating hypotheses, design experiments and draw conclusions. By employing critical thinking skills, researchers can evaluate the validity of claims, weigh evidence objectively, and arrive at conclusions rooted in evidence-based reasoning. This approach safeguards against premature conclusions and ensures that scientific findings are based on robust analysis and thorough scrutiny.

Moreover, critical thinking promotes intellectual humility, encouraging researchers to remain open to alternative viewpoints and possibilities. It fosters a culture of constructive skepticism, wherein scientific claims are subject to continuous scrutiny and refinement. This aspect of critical thinking is pivotal in mitigating the influence of personal biases and fostering a collective pursuit of objective truth within the scientific community.

Related article: Thesis Conclusion: Making Your Research Paper Outstanding

Sharpening Critical Thinking Abilities

Improving critical thinking skills is an ongoing endeavor that involves deliberate practice and exposure to diverse perspectives. Engaging in activities that challenge assumptions, such as analyzing conflicting viewpoints or participating in debates, can sharpen critical thinking abilities. Additionally, fostering a habit of continuous learning and staying abreast of developments in various scientific domains can broaden perspectives, enhancing the ability to approach problems from different angles.

Moreover, encouraging interdisciplinary collaboration and engaging in discussions with peers from varied scientific backgrounds can stimulate critical thinking. Exposure to alternative methodologies and problem-solving approaches cultivates adaptability and a more nuanced understanding of complex scientific issues.

Navigating Reliable Sources In Scientific Inquiry

The art of identifying reliable sources is a skill that requires meticulous evaluation and discrimination. Apart from traditional peer-reviewed journals and reputable publications, researchers must discern the authenticity of online sources, considering factors like author expertise, publication credibility, and potential biases. Furthermore, acknowledging the significance of preprint articles while discerning their limitations is pivotal in staying updated with the latest scientific developments.

Criteria For Reliable Sources

Developing a keen eye for distinguishing credible sources from unreliable ones is crucial. Encouragingly, initiatives promoting media literacy and critical evaluation of sources are gaining traction, empowering individuals to navigate the digital landscape more discerningly.

Reliable sources in scientific research adhere to stringent criteria, embodying credibility, accuracy, objectivity, and relevance. Peer-reviewed journals, known for their rigorous editorial and review processes, serve as gold standards in academic research. Additionally, reputable institutions and recognized experts within specific scientific fields contribute to the authenticity of information.

Understanding the underlying criteria for determining source reliability allows researchers to make informed decisions about the veracity and applicability of the information they encounter. This discernment, crucial in an era flooded with information, is fundamental to upholding the integrity of scientific inquiry.

Discerning And Assessing Reliable Sources

Developing the ability to discern credible sources involves a multifaceted approach. Understanding the context in which the information is and cross-referencing it with multiple reliable sources adds layers of validation, ensuring the reliability and accuracy of the information gathered.

Furthermore, distinguishing between primary and secondary sources aids in the assessment process. While primary sources offer firsthand information or original research findings, secondary sources interpret and analyze primary data. Recognizing the nuances between these sources is pivotal in grasping the depth and breadth of scientific information.

Harnessing The Power Of Search Engines In Research

In the digital age, search engines serve as gateways to an expansive pool of information. Leveraging these tools efficiently necessitates familiarity with advanced search techniques. Utilizing specific search operators, employing filters, and refining search queries enable researchers to access targeted and relevant information swiftly. Moreover, being mindful of the credibility of the websites accessed via search engines ensures the reliability of the gathered data.

Despite the convenience offered by search engines, researchers must approach the results with a critical lens. Verifying the sources’ credibility and cross-referencing information from various reputable sources remains imperative. Search engines, while valuable, are tools that require adept navigation to extract credible and pertinent information effectively.

Maximizing Search Engine Efficiency

Understanding the nuances of different search engines tailored for scientific research, such as PubMed, Google Scholar, and Scopus, can significantly enhance the efficiency of the research process. Each search engine has unique functionalities and focuses, catering to specific scientific disciplines or types of information. Familiarizing oneself with these platforms and their features empowers researchers to optimize their search strategies and access specialized resources pertinent to their field of study.

Related article: The Importance of Scholarly Sources: How to Find and Evaluate

Moreover, utilizing advanced search parameters, such as Boolean operators or specific filters, allows researchers to refine their searches and access highly targeted information. Learning and applying these techniques enhance the precision and relevance of the obtained results, streamlining the research process and saving valuable time.

Active Listening: A Crucial Research Skill

Active listening extends beyond the conventional perception of listening; it involves a focused and deliberate effort to comprehend and assimilate information effectively. During the research process, active listening plays a pivotal role, particularly when gathering insights from expert discussions, interviews, or academic lectures. It demands undivided attention, keen observation, and an open-minded approach to absorb the nuances and key concepts communicated by the speaker.

Furthermore, active listening isn’t solely about hearing words; it encompasses deciphering underlying meanings, interpreting tone and context, and probing for additional information. This skill enhances the depth and quality of information garnered, ensuring a more holistic understanding of the subject matter.

Engaging In Active Listening During Research

Researchers can refine active listening skills by actively engaging in discussions, seeking clarification when necessary, and taking comprehensive notes. Encouraging dialogue and posing pertinent questions fosters a deeper engagement in the information communicated. Additionally, employing techniques such as summarizing key points or paraphrasing to confirm understanding promotes effective communication and comprehension.

Moreover, employing active listening skills aids researchers in identifying underlying implications and nuances in conversations. It contributes to the extraction of invaluable insights and perspectives, enriching the research process and broadening the scope of information gathered.

Time Management: A Prerequisite For Effective Research

Time management skills are indispensable for researchers seeking to optimize their productivity and efficiency. Successful research requires careful planning and allocation of time for various research phases, including data collection, analysis, experimentation, and documentation.

Efficient time management involves setting realistic goals, establishing priorities, and adhering to structured timelines. Breaking down larger research tasks into manageable segments not only prevents overwhelm but also ensures a systematic approach towards achieving milestones.

Also read: Time Management for Researchers: A Comprehensive Toolkit

Efficient Time Management Strategies

Adopting strategies like creating timelines, setting deadlines for specific research milestones, and maintaining a structured schedule helps researchers stay focused and organized. Furthermore, allocating dedicated time slots for research activities prevents procrastination and promotes consistent progress.

Moreover, embracing tools and techniques that aid in time management, such as calendar applications, task management software, or productivity frameworks like the Pomodoro Technique , can significantly enhance efficiency in research endeavors.

Create Scientifically Precise Infographics Effortlessly

For scientists seeking to enhance the presentation of their research, it’s crucial to go beyond just the depth of data. Readers often gravitate towards visual content, allowing them to grasp concepts more quickly. With Mind the Graph , you can access a vast library of scientifically accurate figures spanning various topics. Sign up and create compelling infographics in minutes, elevating the quality of your research papers.

Subscribe to our newsletter

Exclusive high quality content about effective visual communication in science.

Unlock Your Creativity

Create infographics, presentations and other scientifically-accurate designs without hassle — absolutely free for 7 days!

Content tags

• Cambridge Libraries

Study Skills

Research skills.

• Searching the literature
• Note making for dissertations
• Research Data Management
• Copyright and licenses
• Publishing in journals
• Publishing academic books
• Depositing your thesis
• Research metrics
• Build your online profile
• Finding support

Researchers interact with information every day. You might be looking for articles, evaluating sources, writing up work for publication or disseminating your work more widely. And of course the literature does not just consist of books or papers, there's also a lot of research data and grey literature that needs to be processed and distributed appropriately. 

We're here to help you find your way in this landscape and make the most of your research opportunities. We have designed these online modules that you can take in your own time. Each one is packed with ideas and tips to help you succeed as a researcher at Cambridge. 

Click on the titles on the left to access each module.

How did you find our Research Skills modules

We'd love to hear about your experience on this site to keep improving our offer and to compare it with face-to-face training. Please take the feedback survey , it should only take around 2 minutes to complete. 

• Next: Searching the literature >>
• Last Updated: Apr 11, 2024 9:35 AM
• URL: https://libguides.cam.ac.uk/research-skills

© Cambridge University Libraries | Accessibility | Privacy policy | Log into LibApps

Top 12 Researcher Skills to Put on Your Resume

In the competitive world of academia and research, distinguishing yourself through a well-crafted resume is crucial. Highlighting the top researcher skills on your resume not only showcases your expertise and dedication to potential employers but also sets you apart as a highly capable and adaptable candidate in the field.

Researcher Skills

Python is a high-level, versatile programming language widely used in research for data analysis, machine learning, and automation due to its simplicity and extensive library support.

Why It's Important

Python is important for researchers due to its simplicity and readability, vast library ecosystem for data analysis and visualization (e.g., NumPy, Pandas, Matplotlib), and strong support for scientific computing, making it an accessible and powerful tool for conducting complex research efficiently.

How to Improve Python Skills

Improving your Python skills, especially as a researcher, involves a balance of learning foundational concepts, practicing coding, and understanding how to apply Python in your specific field. Here are concise strategies with direct links to enhance your Python proficiency:

Master the Basics : Ensure a strong grasp of Python syntax and basic programming concepts. The official Python documentation is a great starting point.

Learn Data Science Tools : Familiarize yourself with libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. DataCamp's tutorials are practical and research-focused.

Engage in Projects : Apply what you learn in real-world projects. Websites like GitHub offer a plethora of open-source projects where you can contribute and learn.

Take Online Courses : Platforms like Coursera and edX offer Python courses tailored to researchers.

Join Python Communities : Engage with communities on Stack Overflow or Reddit’s r/learnpython . They are excellent for seeking help and staying updated on best practices.

Read Books and Articles : Books like "Python for Data Analysis" by Wes McKinney can be invaluable. Keep up with the latest research and techniques by regularly reading relevant arXiv preprints .

Practice Coding Daily : Consistency is key. Use platforms like LeetCode to practice coding problems.

Attend Workshops and Conferences : Events specific to Python in research, like SciPy , provide workshops and presentations from leading experts.

Implement Peer Code Reviews : Sharing your code with peers for review on platforms like GitHub can offer new perspectives and improvement areas.

Experiment with Different IDEs : Explore IDEs like PyCharm or Jupyter Notebooks to find what enhances your productivity.

By incorporating these strategies, you can significantly enhance your Python skills, making your research more efficient and impactful.

How to Display Python Skills on Your Resume

R is a programming language and software environment used for statistical analysis, graphical representation, and reporting, widely adopted by statisticians, data analysts, and researchers.

R is important for researchers because it provides a comprehensive statistical analysis and graphical visualization toolkit, facilitating data manipulation, statistical modeling, and results communication, all within an open-source environment that encourages collaboration and reproducibility in research.

How to Improve R Skills

Improving your R skills, particularly as a researcher, involves a blend of learning new concepts, practicing coding, and engaging with the community. Here's a concise guide:

Take Online Courses : Platforms like Coursera and DataCamp offer courses tailored to different levels, from beginners to advanced users.

Read Books and Guides : Start with "R for Data Science" by Hadley Wickham, accessible for free at R for Data Science . It covers data visualization, transformation, and modeling.

Practice Coding : Apply what you learn on datasets. Websites like Kaggle provide datasets and challenges to test your skills.

Use R Packages : Familiarize yourself with popular R packages like ggplot2 for data visualization, dplyr for data manipulation, and tidyr for data tidying. The Tidyverse collection is a great starting point.

Join R Communities : Platforms like Stack Overflow and RStudio Community are great for getting help, sharing knowledge, and staying updated on R developments.

Attend Workshops and Conferences : Events like useR! provide opportunities to learn from experts and network with other R users.

Contribute to Open Source Projects : Engaging with projects on GitHub can enhance your coding skills and help you understand real-world applications of R.

Stay Updated : Follow R-related blogs like R-bloggers for tutorials, updates, and insights from the R community.

By integrating these resources and practices into your learning journey, you'll progressively enhance your proficiency in R, making your research more efficient and impactful.

How to Display R Skills on Your Resume

SPSS (Statistical Package for the Social Sciences) is a software tool used by researchers for statistical analysis, data management, and data documentation, facilitating a wide range of statistical tests and modeling techniques.

SPSS is important for researchers because it provides a comprehensive set of statistical tools to analyze data, enabling them to derive insights, test hypotheses, and make evidence-based decisions efficiently.

How to Improve SPSS Skills

Improving your proficiency with SPSS as a researcher involves enhancing both your statistical analysis skills and your familiarity with the software. Here's a concise guide:

• Familiarize with Basics : Start with IBM's official SPSS tutorials to understand the interface and basic functionalities.
• Enhance Statistical Knowledge : Improve your statistical knowledge to know which tests to apply. Consider resources like the Khan Academy for free courses.
• Practice Regularly : Apply your knowledge on sample datasets or your own data. Regular practice helps in understanding the nuances of the software.
• Use Online Forums : Engage in communities such as IBM SPSS Community or ResearchGate. Asking questions and reading discussions can provide insights not found in tutorials.
• Learn Advanced Features : Once comfortable with the basics, explore advanced features like syntax scripting for automation and reproducibility. The UCLA IDRE Resource Pages offer excellent guides on advanced topics.
• Stay Updated : SPSS is regularly updated with new features and improvements. Keep an eye on the official SPSS software updates page to stay informed about the latest changes.

By systematically working through these steps and integrating SPSS into your regular research workflow, you can significantly improve your proficiency and efficiency with the software.

How to Display SPSS Skills on Your Resume

MATLAB is a high-level programming and numerical computing environment used by researchers for data analysis, algorithm development, and visualization, especially in engineering and scientific applications.

MATLAB is important for researchers because it provides a versatile environment for numerical computation, data analysis, and visualization, enabling the efficient handling of large datasets and complex algorithms essential for advanced scientific research.

How to Improve MATLAB Skills

To improve your MATLAB skills as a researcher, focus on these concise strategies:

Online Courses : Enroll in online courses on platforms like Coursera or MATLAB Academy for structured learning.

Official Documentation : Regularly consult MATLAB’s official documentation for comprehensive insights and updates on functions and features.

Coding Practice : Implement your learning through practice on platforms like Project Euler or by contributing to open-source projects relevant to your research area.

Networking : Join MATLAB communities on MATLAB Central or Stack Overflow to exchange knowledge and solve queries.

Workshops and Webinars : Attend workshops and webinars organized by MathWorks to stay updated on the latest tools and methodologies.

Toolboxes : Explore and experiment with specialized MATLAB Toolboxes that are relevant to your field of research for advanced analyses.

Code Optimization : Learn about code vectorization and preallocation to optimize your MATLAB code for efficiency.

Debugging Skills : Improve your debugging skills by utilizing MATLAB’s integrated debugging tools to identify and fix issues more efficiently.

By incorporating these strategies, you'll enhance your MATLAB expertise, thereby significantly contributing to the efficiency and effectiveness of your research.

How to Display MATLAB Skills on Your Resume

SQL (Structured Query Language) is a standardized programming language used for managing and manipulating relational databases, enabling researchers to efficiently query, update, insert, and delete data.

SQL is crucial for researchers as it enables efficient management, manipulation, and retrieval of large datasets, facilitating thorough data analysis and insights generation.

How to Improve SQL Skills

Improving SQL skills, especially as a researcher, involves a mix of theoretical understanding, practice, and exposure to real-world scenarios. Here’s a very short and concise guide:

Learn the Basics : Understand SQL syntax, commands (SELECT, INSERT, UPDATE, DELETE), and concepts like joins, subqueries, and indexes. W3Schools offers a good starting point.

Practice Regularly : Apply what you've learned by solving problems. Websites like HackerRank and LeetCode provide numerous exercises.

Understand Database Design : Knowing how to design a database effectively is crucial. Learn about normalization, relationships, and constraints. Studytonight explains database normalization well.

Explore Advanced Topics : Dive into stored procedures, triggers, and views. Explore how to optimize SQL queries for performance. SQLShack is a valuable resource for advanced learning and performance tuning.

Learn from Real Scenarios : Analyze case studies or real-world scenarios where SQL was pivotal. This helps in understanding complex problems and their solutions. DB-Engines Blog discusses real-world database applications and trends.

Join SQL Communities : Engage with online communities on Stack Overflow or Reddit . These platforms are great for asking questions, sharing knowledge, and staying updated with the latest trends.

Utilize Online Courses and Tutorials : Platforms like Coursera and edX offer courses designed by universities and industry experts. They often cover both the basics and advanced topics.

Work on Projects : Apply your skills on real or simulated projects. This could be anything from creating a database for managing research data to analyzing large datasets with SQL queries.

Improving SQL skills is a continuous journey. The more you practice and engage with complex problems, the better you'll become at leveraging SQL for research and data analysis.

How to Display SQL Skills on Your Resume

Tableau is a powerful data visualization tool that enables researchers to interactively explore and present their data through intuitive graphs, charts, and dashboards, facilitating the discovery of insights and trends.

Tableau is important for researchers because it enables them to visually analyze and present complex data sets, facilitating the discovery of patterns, trends, and insights that might be missed in traditional analysis, thereby enhancing the understanding and communication of their findings.

How to Improve Tableau Skills

Improving your Tableau skills, especially as a researcher, involves a blend of enhancing your data visualization techniques, deepening your understanding of Tableau's features, and staying updated with the latest trends and updates. Here's a concise guide:

Master the Basics : Ensure you're comfortable with the fundamentals of Tableau. The Tableau Training page offers various resources from beginner to advanced levels.

Advanced Features : Dive into advanced features such as calculated fields, parameters, and Tableau's analytics pane to create more dynamic and interactive visualizations. The Tableau Help documentation is a great place to start.

Data Prep Skills : Learn to prepare and clean your data efficiently. Tableau Prep is a powerful tool for this purpose. Explore the Tableau Prep Training Videos for comprehensive learning.

Storytelling with Data : Enhance your ability to tell stories with your data. Cole Nussbaumer Knaflic’s blog, Storytelling with Data , offers valuable insights and tips on presenting data effectively.

Get Certified : Consider obtaining a Tableau certification. It not only validates your skills but also exposes you to a wider range of Tableau's capabilities. Check the Tableau Certification page for more details.

Join the Community : Engage with the Tableau Community through forums, social media channels, and attending Tableau Conference or local user groups. The Tableau Community Forums are a great place to start.

Analyze Public Workbooks : Explore and reverse-engineer workbooks available on Tableau Public . It's a fantastic way to learn new techniques and get inspired.

Stay Updated : Tableau frequently updates its software. Keep an eye on the Tableau Blog for the latest news, features, and insights.

By following these steps and consistently practicing your skills, you will significantly improve your proficiency in Tableau, enabling you to create more impactful and insightful data visualizations.

How to Display Tableau Skills on Your Resume

LaTeX is a high-quality typesetting system commonly used by researchers for the creation of scientific and mathematical documents, offering precise control over document layout and formula formatting.

LaTeX is essential for researchers because it offers precise control over document formatting, enabling the creation of high-quality, professional-looking academic papers, including complex mathematical expressions, references, and figures, ensuring consistency and adherence to publication standards.

How to Improve LaTeX Skills

Improving your LaTeX skills as a researcher involves practicing writing, learning advanced features, and utilizing resources effectively. Here’s a concise guide to help you enhance your LaTeX proficiency:

Practice Regularly : The best way to improve is through consistent practice. Start with simple documents and gradually increase complexity.

Learn Advanced Features : Familiarize yourself with advanced LaTeX features such as custom commands, environments, and packages that can simplify your writing and formatting.

Use Templates : Many journals and conferences provide LaTeX templates. Using these can help you adhere to submission guidelines effortlessly. Overleaf Templates

Incorporate Graphics : Learn to include and manipulate graphics within your LaTeX documents for more dynamic presentations of data. LaTeX Wikibook on Graphics

Bibliography Management : Master the use of BibTeX or BibLaTeX for bibliography management, crucial for research writing. BibLaTeX Documentation

Collaborate Online : Use platforms like Overleaf for collaborative writing and version control. Overleaf

Join LaTeX Communities : Engage with LaTeX communities on forums like Stack Exchange or Reddit for support and to stay updated on best practices. TeX - LaTeX Stack Exchange

Explore Packages : Continuously explore new packages to simplify tasks and enhance the presentation of your documents. CTAN (Comprehensive TeX Archive Network)

Follow Tutorials and Courses : Online tutorials and courses can provide structured learning paths. LaTeX Tutorials on Overleaf

Read Books and Documentation : Deepen your understanding by reading comprehensive LaTeX books and package documentation. LaTeX Wikibook

By following these steps and making use of the provided resources, you can significantly improve your LaTeX skills, making your research documentation more efficient and professional.

How to Display LaTeX Skills on Your Resume

SAS (Statistical Analysis System) is a software suite used by researchers for advanced analytics, multivariate analysis, business intelligence, data management, and predictive analytics.

SAS (Statistical Analysis System) is important for researchers because it provides a powerful and flexible tool for data management, statistical analysis, and reporting, enabling them to efficiently process large datasets, perform complex analyses, and derive insightful conclusions from their research data.

How to Improve SAS Skills

Improving your SAS (Statistical Analysis System) skills as a researcher involves a combination of enhancing your coding abilities, understanding statistical concepts, and practicing with real datasets. Here are concise steps with resources to help you improve:

Master the Basics : Ensure you have a solid understanding of SAS basics. The SAS Programming 1: Essentials course is a great starting point.

Understand Statistical Concepts : Deepen your statistical knowledge to apply the right analyses. Khan Academy offers a comprehensive Statistics and Probability course.

Practice with Real Data : Apply what you've learned by practicing with actual datasets. Kaggle is an excellent platform for finding datasets and participating in competitions.

Learn Advanced Techniques : Once comfortable with the basics, move on to advanced topics like macros and SQL. The SAS Programming 2: Data Manipulation Techniques course is an excellent resource.

Stay Updated and Network : Join the SAS Community to stay updated on the latest trends, ask questions, and network with other SAS professionals.

Utilize SAS Documentation : The SAS Documentation site is a treasure trove of information on all SAS procedures and functions.

Seek Feedback and Collaborate : Work on projects with peers or mentors who can provide feedback and offer new perspectives.

By following these steps and leveraging the provided resources, you can significantly improve your SAS skills and enhance your research capabilities.

How to Display SAS Skills on Your Resume

Stata is a powerful statistical software package used by researchers for data management, analysis, and graphics, supporting a wide range of statistical techniques.

Stata is important for researchers because it provides a comprehensive suite of statistical tools for data analysis, management, and visualization, facilitating robust and replicable research findings across various disciplines.

How to Improve Stata Skills

Improving your proficiency in Stata as a researcher involves a combination of enhancing your understanding of the software, learning to implement more efficient coding practices, and staying updated on the latest features and extensions. Here are concise tips with relevant resources:

Master the Basics : Start with a solid foundation by thoroughly understanding Stata's environment, commands, and data manipulation techniques. The Stata Getting Started guide is an excellent resource.

Utilize Online Courses and Tutorials : Engage with structured learning through online platforms. Udemy and Coursera offer courses tailored to different expertise levels.

Explore Stata's Documentation : Dive into Stata's official documentation for in-depth understanding and to learn about new features and commands.

Participate in Forums and Communities : Join platforms like Statalist , the official Stata forum, to share knowledge, ask questions, and learn from experienced users.

Automate Repetitive Tasks : Learn to write do-files for automating repetitive tasks, improving efficiency. The Stata Programming Reference Manual provides guidance on scripting.

Stay Updated : Follow the Stata Blog for updates, tips, and tricks from Stata professionals and enthusiasts.

Learn from Example Datasets : Practice with Stata's provided datasets to understand data management and analysis techniques. Access these through the sysuse command.

Enhance Your Statistical Knowledge : A deeper understanding of statistical methods will allow you to make the most of Stata's capabilities. Khan Academy offers free resources to brush up on statistics.

Optimize Performance : For large datasets or complex analyses, learn to optimize Stata's performance through efficient coding practices. The Stata Programming FAQ offers tips on improving execution speed.

By following these tips and utilizing the provided resources, you can significantly improve your Stata skills, contributing to more effective and efficient research.

How to Display Stata Skills on Your Resume

NVivo is a qualitative data analysis software that allows researchers to organize, analyze, and visualize unstructured data, such as interviews, open-ended survey responses, articles, social media, and web content, facilitating in-depth insights into their research topics.

NVivo is important for researchers because it facilitates the organization, analysis, and synthesis of qualitative data, enabling deeper insights and more robust findings.

How to Improve NVivo Skills

To improve your experience and efficiency with NVivo as a researcher, consider the following concise strategies:

Enhance Your Skills : Continuous learning about NVivo's features can significantly improve your proficiency. The QSR International's NVivo Resource Library offers tutorials, webinars, and guides tailored for both beginners and advanced users.

Leverage Import Options : Efficiently utilize NVivo's capability to import data from diverse sources (e.g., surveys, social media, interviews). Understanding the data importing guidelines can streamline your workflow.

Use Coding Queries : Master the use of coding queries to analyze your data deeply. NVivo's query functions help in identifying patterns, comparing themes, and extracting meaningful insights from your data.

Employ Collaboration Features : If working as part of a team, utilize NVivo's collaboration features. Understanding how to merge projects and share data can enhance team productivity and analysis consistency.

Optimize with Add-Ons : Explore NVivo add-ons for advanced functionalities like automated transcription and social media analysis. NVivo Transcription and NCapture are tools that expand your research capabilities .

Stay Updated : Regularly update your NVivo software. New updates often include bug fixes, new features, and performance improvements. Check the latest NVivo updates for optimal performance.

Seek Community Support : Join NVivo forums and user groups to share experiences, ask questions, and get advice from the community. The NVivo Community can be a valuable resource for troubleshooting and tips.

Implementing these strategies can significantly enhance your research process, making your work with NVivo more effective and enjoyable.

How to Display NVivo Skills on Your Resume

ArcGIS is a comprehensive geographic information system (GIS) software developed by Esri, designed for creating, analyzing, and managing spatial data and maps for research and application in various fields such as environmental science, urban planning, and public health.

ArcGIS is important for researchers because it provides powerful tools for spatial analysis, data management, and visualization, enabling them to uncover patterns, trends, and relationships in geographic data that can drive scientific discovery and inform decision-making.

How to Improve ArcGIS Skills

Improving your ArcGIS skills as a researcher involves a combination of enhancing your understanding of GIS concepts, practical application of tools, and integrating advanced technologies. Here are concise strategies:

Master the Basics and Beyond : Dive deeper into the essentials of ArcGIS by exploring Esri's training catalog . Focus on courses relevant to your research.

Learn Python for ArcGIS : Automate tasks and perform advanced data analysis by learning Python scripting. Start with ArcGIS API for Python .

Incorporate Spatial Data Science : Explore the ArcGIS Spatial Data Science course to integrate statistical models and machine learning in your GIS projects.

Utilize ArcGIS Online : Leverage ArcGIS Online for sharing and collaborating on GIS projects, accessing a wealth of datasets, and using web applications.

Engage with the Community : Join the GeoNet Community to share ideas, get help, and stay updated on the latest GIS trends and technologies.

Explore Advanced Tools : Delve into advanced tools like ArcGIS Pro for more powerful and efficient data analysis, visualization, and management.

Attend Workshops and Conferences : Participate in GIS-focused events like the Esri User Conference to learn from experts and network with peers.

By following these strategies and continuously practicing, you can significantly improve your ArcGIS capabilities and contribute more effectively to your research projects.

How to Display ArcGIS Skills on Your Resume

Hadoop is an open-source framework designed for distributed storage and processing of large data sets using simple programming models across clusters of computers. It is particularly useful for handling big data analysis for researchers.

Hadoop is important for researchers because it enables the processing and storage of large datasets across a distributed computing environment, facilitating complex analytical computations and the extraction of valuable insights from big data efficiently.

How to Improve Hadoop Skills

Improving Hadoop performance and functionality can be crucial for researchers dealing with big data analysis. Here are concise strategies with relevant resources:

Optimize Configuration : Fine-tune Hadoop's configuration parameters (e.g., heap size, block size) to match your specific workload requirements. Apache Hadoop Configuration

Use Compression : Implement data compression to reduce I/O and improve network bandwidth usage without significantly impacting CPU resources. Hadoop Compression

Enable Data Locality : Optimize task assignment to minimize data movement across the network, enhancing processing speed. Understanding Data Locality

Leverage High-Performance Computing (HPC) Techniques : Integrate HPC methodologies to improve computational efficiency and scalability. Integrating HPC with Hadoop

Incorporate Advanced Storage Solutions : Utilize SSDs for frequently accessed data and Hadoop Compatible File Systems (HCFS) for better scalability and performance. Hadoop and SSDs

Employ Parallel Processing Frameworks : Make use of frameworks like Apache Spark for faster in-memory processing capabilities. Apache Spark

Optimize Data Formats : Use efficient data formats (e.g., Parquet, ORC) that support schema evolution, compression, and improved read/write operations. Hadoop File Formats

Implement Automated Tuning Tools : Utilize tools like LinkedIn's Dr. Elephant or Apache Ambari for automatic detection and correction of performance bottlenecks. Dr. Elephant , Apache Ambari

Update Regularly : Keep your Hadoop cluster and related ecosystem components up-to-date with the latest releases to benefit from performance improvements and new features. Hadoop Releases

Invest in Training and Knowledge Sharing : Encourage continuous learning and sharing of best practices within your team or organization. Hadoop Training

By applying these strategies, researchers can significantly enhance Hadoop's performance and efficiency for processing large-scale datasets.

How to Display Hadoop Skills on Your Resume

Related Career Skills

• Market Researcher
• Survey Researcher
• Clinical Researcher
• User Experience Researcher

Empowering students to develop research skills

February 8, 2021

This post is republished from   Into Practice ,  a biweekly communication of Harvard’s  Office of the Vice Provost for Advances in Learning

Terence D. Capellini, Richard B Wolf Associate Professor of Human Evolutionary Biology, empowers students to grow as researchers in his Building the Human Body course through a comprehensive, course-long collaborative project that works to understand the changes in the genome that make the human skeleton unique. For instance, of the many types of projects, some focus on the genetic basis of why human beings walk on two legs. This integrative “Evo-Devo” project demands high levels of understanding of biology and genetics that students gain in the first half of class, which is then applied hands-on in the second half of class. Students work in teams of 2-3 to collect their own morphology data by measuring skeletons at the Harvard Museum of Natural History and leverage statistics to understand patterns in their data. They then collect and analyze DNA sequences from humans and other animals to identify the DNA changes that may encode morphology. Throughout this course, students go from sometimes having “limited experience in genetics and/or morphology” to conducting their own independent research. This project culminates in a team presentation and a final research paper.

The benefits: Students develop the methodological skills required to collect and analyze morphological data. Using the UCSC Genome browser  and other tools, students sharpen their analytical skills to visualize genomics data and pinpoint meaningful genetic changes. Conducting this work in teams means students develop collaborative skills that model academic biology labs outside class, and some student projects have contributed to published papers in the field. “Every year, I have one student, if not two, join my lab to work on projects developed from class to try to get them published.”

“The beauty of this class is that the students are asking a question that’s never been asked before and they’re actually collecting data to get at an answer.”

The challenges:  Capellini observes that the most common challenge faced by students in the course is when “they have a really terrific question they want to explore, but the necessary background information is simply lacking. It is simply amazing how little we do know about human development, despite its hundreds of years of study.” Sometimes, for instance, students want to learn about the evolution, development, and genetics of a certain body part, but it is still somewhat a mystery to the field. In these cases, the teaching team (including co-instructor Dr. Neil Roach) tries to find datasets that are maximally relevant to the questions the students want to explore. Capellini also notes that the work in his class is demanding and hard, just by the nature of the work, but students “always step up and perform” and the teaching team does their best to “make it fun” and ensure they nurture students’ curiosities and questions.

Takeaways and best practices

• Incorporate previous students’ work into the course. Capellini intentionally discusses findings from previous student groups in lectures. “They’re developing real findings and we share that when we explain the project for the next groups.” Capellini also invites students to share their own progress and findings as part of class discussion, which helps them participate as independent researchers and receive feedback from their peers.
• Assign groups intentionally.  Maintaining flexibility allows the teaching team to be more responsive to students’ various needs and interests. Capellini will often place graduate students by themselves to enhance their workload and give them training directly relevant to their future thesis work. Undergraduates are able to self-select into groups or can be assigned based on shared interests. “If two people are enthusiastic about examining the knee, for instance, we’ll match them together.”
• Consider using multiple types of assessments.  Capellini notes that exams and quizzes are administered in the first half of the course and scaffolded so that students can practice the skills they need to successfully apply course material in the final project. “Lots of the initial examples are hypothetical,” he explains, even grounded in fiction and pop culture references, “but [students] have to eventually apply the skills they learned in addressing the hypothetical example to their own real example and the data they generate” for the Evo-Devo project. This is coupled with a paper and a presentation treated like a conference talk.

Bottom line:  Capellini’s top advice for professors looking to help their own students grow as researchers is to ensure research projects are designed with intentionality and fully integrated into the syllabus. “You can’t simply tack it on at the end,” he underscores. “If you want this research project to be a substantive learning opportunity, it has to happen from Day 1.” That includes carving out time in class for students to work on it and make the connections they need to conduct research. “Listen to your students and learn about them personally” so you can tap into what they’re excited about. Have some fun in the course, and they’ll be motivated to do the work.

Resume builder

The Best Research Skills for a Resume

If you want to apply for a research position, you need to provide evidence of research skills on your resume. In this article, we explore what the best research skills for a resume are, why they are important and how to list them properly. We also provide a researcher resume sample to get you started – you can use it as inspiration or a template.

Table of Contents

What Are Research Skills?

A career like research is an excellent option for anyone who can collect, analyze and interpret data, solve complex problems, dive deep into discovery, and offer innovative solutions. The best thing about being a researcher is that you can not only succeed in science and academia but also climb up the career ladder in the corporate world. Indeed, having solid research skills opens the door to many roles and industries, including academic environments, government settings, transnational corporations, startups, tech giants, and non-profit organizations, to name but a few.

From human behavior to regional studies to biotech, there are myriads of research spheres where a qualified individual can make a difference. Researchers utilize their skills to explore a variety of topics, and if you have your mind set on pursuing a career as a researcher, you need to understand what skill set is pivotal for success in this field.

In a nutshell, research skills are all about searching ways to resolve problems. They are knowledge, abilities and competencies that ensure you can investigate particular topics, perform critical analysis, extract and organize data, interpret results, form hypotheses, and derive data-driven conclusions.

As a researcher, you are expected to be capable of relaying your findings to other people in a compelling and digestible form and even inspire action, both in yourself and in others.

Whether you are a seasoned researcher or a novice in this field, you need to put the right skills on your resume . Below you will find a list of the most in-demand research skills in today’s job market.

The Top 10 Research Skills for a Resume

Communication.

Communication is a crucial aspect of a research career since you are required to share information, relay findings and spread knowledge efficiently and effectively, both orally and in writing . While communication skills certainly have a place on your resume , that doesn’t mean adding “Communication” to your list of skills is enough to move on. You need to provide relevant examples verifying that you can research things as part of a team and work towards a common goal. You could add something like this to add credibility to your claim:

Recruited 7 research assistants for clinical studies by visiting clinics and sending out email invites, increasing participation by 20%.

Explained 100+ research procedures to a group of study participants in 10 days, resulting in a 0% incident rate.

Problem Solving

Being an advanced problem solver means you can consistently identify issues and find effective and efficient solutions to them . It is an extremely valuable skill when it comes to research-based activities, and 86% of employers look for workers who are capable of solving problems in the workplace according to the National Association of Colleges and Employers’ Job Outlook 2022 survey. If you want to add problem-solving skills to your resume, you need to underpin them with relevant accomplishments. For instance, you could add examples like these:

Resolved course accessibility issues by creating interactive presentations for remote learners, increasing student satisfaction by 89%.

Developed and introduced a new computing environment for analysis, identifying 100% of failure patterns and improving issue detection by 75%.

Analytical Skills

Having analytical skills means you can parse data into digestible pieces, interpret them correctly and make data-based connections and conclusions . Data analysis incorporates a vast set of competencies, including technical skills like proficiency in programming languages, such as Python and R, familiarity with data visualization tools, like Tableau and Power BI, and a strong grasp of statistical analysis methods, such as hypothesis testing, regression analysis, and sample size determination. Armed with these skills, a researcher can take data to the next level and drive both innovation and profitability.

Being able to make sense of facts and figures both manually and using automated solutions will help you thrive in most roles, so recruiters would love to know that you are an analytical thinker when considering your candidacy. Your best bet here is to make sure they can find this out by examining your resume. You can add examples like the ones below to prove you can tackle complicated issues using your analytical skill set:

Collected, cleaned and analyzed first-party data from 10+ departments to identify the socio-economic impact of the COVID-19 pandemic on the company.

Performed regression analysis to determine the effects of a company-wide minimum wage increase, concluding that the hiring process was accelerated by 25% due to the wage change in question.

Qualitative Analysis

Qualitative analysis allows you to analyze a research subject using non-numerical and non-quantifiable parameters, characteristics and indicators and is based on abstract concepts . For instance, you can use qualitative attributes like human behavior or brand reputation to make business decisions or recognize investment opportunities. This skill is in demand today as it helps researchers use their observations to make conclusions, identify patterns and tackle challenges. Since you cannot quantify this area of your expertise, you need to provide relevant context to convince the reader that you are capable of analyzing non-tangible aspects of a subject. You can do that by using appropriate examples, like the following ones:

Evaluated the quality and accuracy of 200+ data sources in a month.

Performed quality control of high-volume content in a rapidly changing environment, maintaining a quality score of 99.9%.

Quantitative Analysis

Quantitative analysis is an approach that allows you to collect, study, measure, and analyze data . From statistical research to financial modeling, quantitative analysis includes a powerful toolkit that helps a researcher refine and simplify vast amounts of raw data to make better decisions and forecast trends.

Quantitative analysis has countless applications: with it, you can track metrics, measure variables and evaluate parameters in multiple fields, from finance and accounting to molecular biology and astrophysics. Therefore, it is no wonder that it is one of the most important research skills for a resume and highlighting it the right way is likely to help you move forward in the job searching process. You can prove that you know how to work with tangible data by providing relevant examples, like the following ones:

Designed a new data analysis technique, saving 30 monthly hours in parameter comparisons.

Used SQL to analyze customer data and identify areas for improvement related to customer conversions, resulting in a conversion boost by 75%.

Academic Writing

Academic writing is the ability to create complex documents containing scientific data, such as formulas, graphs, and charts . Academic writing skills help researchers prepare reports, presentations and articles for scientific journals and magazines, and if you have them, it means you know how to present technical information clearly and concisely. Recruiters from scientific fields are especially interested in candidates capable of writing academically, so submitting a resume with examples of written work is likely to help you secure a position as a researcher. Listing your publications to prove your expertise is the best option here, but since you might not have enough space to add all your papers, books and articles, you could highlight your academic writing proficiency with something like this:

Created 350+ articles on the principles of academic research for the university’s database, increasing student satisfaction by 60%.

Published 30+ papers focused on structural changes in protein conformations.

Literature Review

Literature review is a methodology that implies conducting rigorous research on a particular topic . Having literature review skills means you can explore your subject area in greater depth using sources like books, journal articles, industry magazines, etc. Such competencies allow you to build upon existing knowledge and generate new ideas, accelerating your research and pushing it to its full potential. Naturally, your literature review skills are a valuable asset to your resume. We recommend you to illuminate them with appropriate examples, focusing on tangible outcomes:

Gathered and reviewed 10+ articles on Stata to extract variables from a dataset.

Performed 100+ literature reviews to implement changes in clinical practice, boosting quality of care by 70%.

Time Management

Time management is a powerful soft skill that is especially valuable in research environments. It allows you to manage your time effectively, break large tasks into manageable chunks and prioritize them properly, set up measurable, attainable, and time-bound goals, and even juggle your responsibilities . Proper time management helps you stay focused on your work, boosts your productivity and thereby leads to consistently high results and impressive outcomes. From carrying out experiments to writing reports to teaching, as a researcher, you need to apply time management strategies on a daily basis to successfully accomplish your tasks. You can show you are good at time management on your resume by showcasing your successes, like in the examples below:

Developed a database for organizing behavioral data for 100+ study participants, decreasing data processing time by 30%.

Implemented data analysis techniques in Python, increasing the amount of data analyzed per hour by 17% and accelerating project completion by 40%.

Attention to Detail

Paying attention to detail is a vital aspect of being a researcher. Having this skill helps you gather credible information, perceive meaningful connections, notice discrepancies, and deliver high-quality work based on correct evidence. Since each and every aspect of a career in research requires efficiency and trustworthiness, attention to detail is something you cannot go without – otherwise, your progress will come to a screeching halt. Naturally, you need to illuminate this skill on your resume as recruiters seek candidates who can look at details with a critical eye and minimize distractions. And the best way to do that is by providing a relevant example of success. You can use the ones below for reference:

Checked 10 + data sheets for completion and quality per day, resulting in a <1% error rate.

Supervised the maintenance and updates of the lab’s database with a 99% accuracy rate.

Editing & Proofreading

Editing and proofreading skills are essential to perform successful research since they ensure it is both accurate and easy to read . While editing is more about making your text more digestible and improving the overall quality of your writing, proofreading corrects surface issues like errors in spelling, punctuation and grammar. Both require you to have a solid command of the language you use and a certain degree of focus. The devil is indeed in the details, so you need to always polish your texts before submitting them. Only this way will they be perceived by your peers and superiors as constructive and professional. And to prove you are good at editing and proofreading, you need to add appropriate examples to your resume. Here is how you can demonstrate your ability to provide high-quality texts:

Edited 11 federal grant proposals designed by my team, which generated $200+ in lab funding.

Edited a research paper co-authored with 2 postdoctoral employees regarding protein generation, which received the Best Paper Award in 2020.

How to List Research Skills on a Resume

Your resume is the best place to highlight your research experience and the value you could bring to your next role. The key here is to put your research skills in the right section so that they get noticed by the reader. You have no fewer than 7 options here:

• A dedicated research section
• Your work experience section
• The education section
• The list of your research publications
• The projects section
• The skills section
• Your resume summary

If you have a solid research background, you may want to create a separate section on your resume and call it Research or Research Experience . This place will help you expand on your projects and their details, specify the nature of your research, and describe the specifics of your previous roles, providing relevant examples and demonstrating the most prominent accomplishments.

If your career is all things research, the work/professional experience section can incorporate your research skills and accomplishments. List your employers and your duties, along with the dates of your employment, like you would do when describing your non-research work experience.

Your education section is an appropriate place to highlight your research skills if you are a student or a recent graduate. You can put it at the top of your resume if you want to draw more attention to your research background when applying for your first job in science or academia.

If you have a whole host of published works, it could be a great idea to create a separate section for listing your publications . This will help you add credibility to your research skills and accomplishments. Research-related accomplishments can also be highlighted as projects on your resume. This might be appropriate if your research background is not so extensive or not quite relevant to your current career aspirations.

You can list your research skills in your skills section as long as they are tangible and relevant for the job you want to land. We recommend you to avoid general skills here and focus on industry-specific expertise, illuminating it with the keywords you can find in the corresponding job listing and relevant skill levels .

Highlighting your research skills in the summary section is appropriate if you are applying for a role where a robust research background is essential. Your resume summary is just a few lines appearing at the top of the document, so make sure to add only the most important research skills there – those that you want the reader to see first and foremost.

Why Are Research Skills Important?

Research-oriented positions and most jobs in academia require you to have a solid set of research skills. Employees outside these roles can also benefit from research experience – research skills are transferable , meaning you can bring them to the table no matter your position, career field or job level. Therefore, they are a valuable addition to a resume in many cases.

Businesses and organizations are eager to employ candidates with proven research skills because they can

• come up with original plans and ideas,
• design innovative products and services,
• improve processes,
• keep up with technology,
• identify customers’ needs and requirements and find ways to meet them,
• resolve complicated issues,
• analyze competitors’ strengths and weaknesses,

By adding research skills to your resume, you show recruiters that you can think outside the box, know how to work with data and technology, are capable of making well-informed decisions, and are good at solving problems. This makes you a valuable hire in today’s skill-based job market

A Resume Sample to Apply for a Research Position

JOHN/JANE DOE Research Assistant Location ⋅ Email ⋅ Phone number Diligent and hardworking clinical researcher seeking a position at [Name of Company] to apply academic expertise and facilitate biological research. PROFESSIONAL EXPERIENCE Company/Organization, Location Dates of Employment Research Assistant Assisted scientists in 30+ research projects related to therapeutics for COVID-19 Conducted data-driven testing with an accuracy rate of 98% Supervised a team of 3 junior research assistants with daily laboratory duties Company/Organization, Location Dates of Employment Graduate Research Assistant Participated in cell research projects as part of a cross-departmental team of 30 researchers. Performed cell counts with 99% accuracy Was engaged in developing a platform to investigate immune responses to virus-infected hepatocytes. … Company/Organization, Location Dates of Employment Research Student Assistant Gathered and analyzed data and evidence for 10+ clinical research cases monthly. Awarded “Research Impact Award” in recognition of consistent research excellence (only 1 student is awarded in a class of 100). … EDUCATION NAME OF UNIVERSITY Location Degree, Major Dates of Education SKILLS Molecular cloning RNA isolation Cell counting Knowledge of SQL code and queries Data analysis Literature review

A career in research is an extremely exciting yet quite a demanding path. Since the competition for positions in the field is very fierce, as a researcher, you need to have high levels of determination and persistence and a powerful combination of skills. The research skills we have outlined in this article are what recruiters expect to see on your resume, so make sure to expand on them to get the job of your dream, rise to the top of your game and deliver ground-breaking research.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Developing Scientific Thinking and Research Skills Through the Research Thesis or Dissertation

• First Online: 22 September 2019

Cite this chapter

• Gina Wisker 3 , 4  

1276 Accesses

2 Citations

This chapter explores higher level scientific thinking skills that research students need to develop during their research learning journeys towards their dissertation/thesis at postgraduate levels, and also final year undergraduate (Australian honours year) dissertation. A model of four quadrants is introduced. Practice and experience-informed examples are presented to show how higher order skills can be realised and embedded so that they become established ways of thinking, researching, creating, and expressing knowledge and understanding.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info
• Durable hardcover edition

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Aitchison, C., & Guerin, C. (Eds.). (2014). Writing groups for doctoral education and beyond: Innovations in practice and theory . Abingdon: Routledge.

Google Scholar  

Archer, L. (2008). Younger academics’ constructions of ‘authenticity’, ‘success’ and professional identity. Studies in Higher Education, 33 (4), 385–403. https://doi.org/10.1080/03075070802211729 .

Article   Google Scholar  

Baker, V. L., & Lattuca, L. R. (2010). Developmental networks and learning: Toward an interdisciplinary perspective on identity development during doctoral study. Studies in Higher Education, 35 (7), 807–827. https://doi.org/10.1080/03075070903501887 .

Bell, J. (2010). Doing your research project: A guide for first-time researchers in education, health and social science . Maidenhead: McGraw-Hill Open University Press.

Boud, D. (Ed.). (1988). Developing student autonomy in learning (2nd ed.). New York: Nichols Publishing Company.

Boud, D., & Walker, D. (1998). Promoting reflection in professional courses: The challenge of context. Studies in Higher Education, 23 (2), 191–206. https://doi.org/10.1080/03075079812331380384 .

Brew, A. (2001). Conceptions of research: A phenomenographic study. Studies in Higher Education, 26 (3), 271–285. https://doi.org/10.1080/03075070120076255 .

Bruce, N. (1995). Practising what we preach: Creating the conditions for student autonomy. Hong Kong Papers in Linguistics & Language Teaching , 18 , 73–88. Retrieved from http://hkjo.lib.hku.hk/archive/files/30cc63ad3122e0ad29590de2006ba6d0.pdf .

Butler, S. (1999). Catalysing student autonomy through action research in a problem centered learning environment. Research in Science Education, 29 (1), 127–140. https://doi.org/10.1007/BF02461184 .

Carver, C., & Scheier, M. (2005). Optimism. In C. R. Snyder & S. J. Lopez (Eds.), Handbook of positive psychology (pp. 231–256). New York, NY: Oxford University Press.

Castello, M., Kobayashi, S., McGinn, M. K., Pechar, H., Vekkaila, J., & Wisker, G. (2017). Researcher identity in transition: Signals to identify and manage spheres of activity in a risk-career. Frontline Learning Research , 3 (3), 19–33. https://doi.org/10.14786/flr.v3i3.149 .

Davies, A., & Danaher, P. A. (2014). Capacity-building for western expatriate nurses and Australian early career researchers. Procedia—Social and Behavioral Sciences, 112, 373–381. https://doi.org/10.1016/j.sbspro.2014.01.1177 .

Elbow, P. (1973). Writing without teachers . Oxford: Oxford University Press.

Fazey, D. M. A., & Fazey, J. A. (2001). The potential for autonomy in learning: Perceptions of competence, motivation and locus of control in first-year undergraduate students. Studies in Higher Education, 26 (3), 345–361. https://doi.org/10.1080/03075070120076309 .

Flanagan, M. (2018). Michael Thomas Flanagan, University College London, London . Retrieved April 4, 2019, from https://www.ee.ucl.ac.uk/~mflanaga .

Grant, B. M. (2008). Agonistic struggle: Master-slave dialogues in humanities supervision. Arts and Humanities in Higher Education, 7 (1), 9–27. https://doi.org/10.1177/1474022207084880 .

Haksever, A. M., & Manisali, E. (2000). Assessing supervision requirements of PhD students: The case of construction management and engineering in the UK. European Journal of Engineering Education, 25 (1), 19–32. https://doi.org/10.1080/030437900308616 .

Healey, M., Bovill, C., & Jenkins, A. (2015). Students as partners in learning. In J. Lea (Ed.), Enhancing learning and teaching in higher education: Engaging with the dimensions of practice (pp. 141–172). Maidenhead: Open University Press.

Healey, M., Flint, A., & Harrington, K. (2014). Engagement through partnership: Students as partners in learning and teaching in higher education . York: HE Academy. Retrieved from https://www.heacademy.ac.uk/knowledge-hub/engagement-through-partnership-students-partners-learning-and-teaching-higher .

Healey, M., Flint, A., & Harrington, K. (2016). Students as partners: Reflections on a conceptual model. Teaching and Learning Inquiry , 4 (2), 1–13. https://doi.org/10.20343/teachlearninqu.4.2.3 .

Holbrook, A., Shaw, K., Scevak, J., Bourke, S., Cantwell, R., & Budd, J. (2014). PhD candidate expectations: Exploring mismatch with experience. International Journal of Doctoral Studies , 9 , 329–346. https://doi.org/10.28945/2078 .

Ivanic, R. (1998). Writing and identity: The discoursal construction of identity in academic writing . Amsterdam: John Benjamins.

Book   Google Scholar  

Jenkins, E. W. (2001). Research in science education in Europe: Retrospect and prospect. In H. Behrendt (Ed.), Research in science education: Past, present and future (pp. 17–26). Dordrecht, The Netherlands: Kluwer Academic. https://doi.org/10.1007/0-306-47639-8_2 .

Johansson, T., Wisker, G., Claesson, S., Strandler, O., & Saalman, E. (2013). PhD supervision as an emotional process—Critical situations and emotional boundary work. Pertanika: Journal of Social Science and Humanities , 22 , 605–622.

Kiley, M., & Wisker, G. (2009). Threshold concepts in research education and evidence of threshold crossing. Higher Education Research and Development, 28 (4), 431–441. https://doi.org/10.1080/07294360903067930 .

Kobayashi, S., Grout, B., & Rump, C. Ø. (2013). Interaction and learning in PhD supervision—A qualitative study of supervision with multiple supervisors. Dansk Universitetspaedagogisk Tidsskrift , 8 (14), 13–25. Retrieved from https://tidsskrift.dk/dut/article/download/7174/6653 .

Kobayashi, S., Grout, B. W., & Rump, C. Ø. (2015). Opportunities to learn scientific thinking in joint doctoral supervision. Innovations in Education and Teaching International, 52 (1), 41–51. https://doi.org/10.1080/14703297.2014.981837 .

Li, S., & Seale, C. (2007). Learning to do qualitative data analysis: An observational study of doctoral work. Qualitative Health Research, 17 (10), 1442–1452. https://doi.org/10.1177/1049732307306924 .

Land, R., Meyer, J., & Smith, J. (Eds.). (2008). Threshold concepts within the disciplines . Rotterdam: Sense.

Leibowitz, B., Wisker, G., & Lamberti, P. (2018). ‘Crossing over’ into research on teaching and learning. In E. Bitzer (Ed.), Spaces, journeys and new horizons for postgraduate supervision (pp. 149–162). Stellenbosch, South Africa: SUN Press.

Lombardo, T. (2006). The evolution of future consciousness: The nature and historical development of the human capacity to think about the future . Bloomington, IN: AuthorHouse.

Lombardo, T. (2007). Developing constructive and creative attitudes and behaviors about the future: Part III—The self‐narrative, optimism and self‐efficacy, and the evolving future self. World Futures Study Federation : Futures Bulletin , 32 (2). Retrieved from https://www.centerforfutureconsciousness.com/pdf_files/WFSFArticles/Bulletins/FutConsArticle3.pdf .

Lombardo, T., & Richter, J. (2004). Evolving future consciousness through the pursuit of virtue. In H. Didsbury (Ed.), Thinking creatively in turbulent times . Bethesda, MD: World Future Society.

Meyer, J. H. F., & Land, R. (2003). Threshold concepts and troublesome knowledge: Linkages to ways of thinking and practising within the disciplines. In C. Rust (Ed.), Improving student learning: Improving student learning theory and practice—Ten years on . Oxford: Oxford Centre for Staff and Learning Development.

McAlpine, L. (2012). Shining a light on doctoral reading: Implications for doctoral identities and pedagogies. Innovations in Education and Teaching International, 49 (4), 351–361. https://doi.org/10.1080/14703297.2012.728875 .

McAlpine, L., Amundsen, C., & Turner, G. (2013). Identity-trajectory: Reframing early career academic experience. British Educational Research Journey, 40 (6), 952–969. https://doi.org/10.1002/berj.3123 .

Morris, C., & Wisker, G. (2011). Troublesome encounters: Strategies for managing the wellbeing of master’s and doctoral education students during their learning processes (HEA ESCalate Subject Centre Report). Retrieved from http://escalate.ac.uk/6828 .

Muurlink, O., & Poyatos Matas, C. (2010). A higher degree of stress: Academic wellbeing. In L. Marshall & C. Morris (Eds.), Taking wellbeing forward in higher education: Reflections on theory and practice (pp. 60–71). Falmer: University of Brighton Press.

Murray, R. (2016). How to write a thesis (4th ed.). Maidenhead: Open University Press.

Murtonen, M. (2005). University students’ research orientations: Do negative attitudes exist toward quantitative methods? Scandinavian Journal of Educational Research, 49 (3), 263–280. https://doi.org/10.1080/00313830500109568 .

Murtonen, M. (2015). University students’ understanding of the concepts empirical, theoretical, qualitative, and quantitative research. Teaching in Higher Education, 20 (7), 684–698. https://doi.org/10.1080/13562517.2015.1072152 .

Murtonen, M., Olkinuora, E., Tynjälä, P., & Lehtinen, E. (2008). “Do I need research skills in working life?”: University students’ motivation and difficulties in quantitative methods courses. Higher Education, 56 (5), 599–612. https://doi.org/10.1007/s10734-008-9113-9 .

Phillips, E., & Pugh, D. S. (2010). How to get a PhD: A handbook for students and their supervisors . Maidenhead: McGraw-Hill Open University Press.

Poyatos Matas, C. (2008, July). An innovative approach to research supervision . Paper presented at the University of Brighton Learning and Teaching Conference, Brighton, UK.

Poyatos Matas, C. (2009). A new approach to research supervision. In J. Barlow, G. Louw, & M. Rice (Eds.), Social purpose and creativity—Integrating learning in the real world (pp. 28–32). Falmer: University of Brighton Press.

Pyhältö, K., Nummenmaa, A. R., Soini, T., Stubb, J., & Lonka, K. (2012). Research on scholarly communities and development of scholarly identity in Finnish doctoral education. In T. S. Ahola & D. M. Hoffman (Eds.), Higher education research in Finland: Emerging structures and contemporary issues (pp. 337–357). Jyväskylä, Finland: Jyväskylä University Press.

Schulze, S. (2012). Empowering and disempowering students in student-supervisor relationships. Koers-Bulletin for Christian Scholarship, 77 (2), 1–8. https://doi.org/10.4102/koers.v77i2.47 .

Strandler, O., Johansson, T., Wisker, G., & Claesson, S. (2014). Supervisor or counsellor? Emotional boundary work in supervision. International Journal for Researcher Development, 5 (2), 70–82. https://doi.org/10.1108/IJRD-03-2014-0002 .

Trafford, V., & Leshem, S. (2009). Doctorateness as a threshold concept. Innovations in Education and Teaching International , 46 (3), 305–316. https://doi.org/10.1080/14703290903069027 .

Vekkaila, J., Pyhältö, K., & Lonka, K. (2013). Focusing on doctoral students’ experiences of engagement in thesis work. Frontline Learning Research, 1 (2), 10–32. https://doi.org/10.14786/flr.v1i2.43 .

Walliman, N. S. R. (2011). Your research project: Designing and planning your work . London: Sage.

Willison, J. (2009). Multiple contexts, multiple outcomes, one conceptual framework for research skill development in the undergraduate curriculum. CUR Quarterly , 29 (3), 10–14. Retrieved from https://www.adelaide.edu.au/rsd/evidence/related-articles/willison_2009_CURQ_29_3_.pdf .

Willison, J. (2012). When academics integrate research skill development in the curriculum. Higher Education Research & Development, 31 (6), 905–919. https://doi.org/10.1080/07294360.2012.658760 .

Willison, J., & O’Regan, K. (2005). 2020 Vision: An information literacy continuum for students primary school to post graduation. In A. Brew & C. Asmar (Eds.), Higher education in a changing world: Proceedings of the 28th HERDSA annual conference (pp. 633–641). Sydney, NSW, Australia: Higher Education Research and Development Society of Australasia.

Willison, J., & O’Regan, K. (2006). Research skill development framework . Retrieved April 4, 2019, from www.adelaide.edu.au/rsd .

Willison, J., Sabir, F., & Thomas, J. (2017). Shifting dimensions of autonomy in students’ research and employment. Higher Education Research and Development, 36 (2), 430–443. https://doi.org/10.1080/07294360.2016.1178216 .

Wisker, G. (2001). The postgraduate research handbook . Basingstoke: Palgrave Macmillan.

Wisker, G. (2009/2018). The undergraduate research handbook. Basingstoke: Palgrave Macmillan.

Wisker, G. (2012). The good supervisor: Supervising postgraduate and undergraduate research for doctoral theses and dissertations . Basingstoke: Palgrave Research Skills.

Wisker, G. (2014). Voice, vision and articulation: Conceptual threshold crossing in academic writing. In C. O’Mahony, A. Buchanan, M. O’Rourke, & B. Higgs (Eds.), Proceedings of the National Academy’s sixth annual conference and the fourth biennial threshold concepts conference (pp. 159–164). Cork, Ireland: NAIRTL. Retrieved from https://eric.ed.gov/?id=ED558533 .

Wisker, G. (2015). Getting published . London: Palgrave Macmillan.

Wisker, G. (2016). Toil and trouble: Professional and personal expectations and identities in academic writing for publication. In J. Smith (Ed.), Identity work in the contemporary university: Exploring an uneasy profession (pp. 143–154). Rotterdam: Sense.

Wisker, G. (2018). Frameworks and freedoms: Supervising research learning and the undergraduate dissertation. Journal of University Teaching and Learning Practice , 15 (4), 1–14. Retrieved from https://ro.uow.edu.au/jutlp/vol15/iss4/2 .

Wisker, G., & Kiley, M. (2017). Helping students demonstrate mastery of doctoral threshold concepts. In S. Carter & D. Laurs (Eds.), Developing research writing: A handbook for supervisors and advisers (pp. 173–178). Abingdon: Routledge.

Chapter   Google Scholar  

Wisker, G., Kiley, M., & Aiston, S. (2006, March). Making the learning leap: Research students crossing conceptual thresholds . Paper presented at the quality in postgraduate research conference, Adelaide, Australia.

Wisker, G., Morris, C., Cheng, M., Masika, R., Warnes, M., Lilly, J. …, Robinson, G. (2010). Doctoral learning journeys—Final report of the NTFS-funded project . Retrieved from http://www.heacademy.ac.uk/resources/detail/ntfs/Projects/Doctoral_Learning_Journeys .

Wisker, G., & Robinson, G. (2013). Doctoral ‘orphans’: Nurturing and supporting the success of postgraduates who have lost their supervisors. Higher Education Research & Development, 32 (2), 300–313. https://doi.org/10.1080/07294360.2012.657160 .

Wisker, G., Robinson, G., & Kiley, M. (2008, March). Crossing liminal spaces: Encouraging postgraduate students to cross conceptual thresholds and achieve threshold concepts in their research . Paper presented at the quality in postgraduate research: Research education in the new global environment—Part 2. Canberra, Australia.

Wisker, G., Robinson, G., Trafford, V., Warnes, M., & Creighton, E. (2003). From supervisory dialogues to successful PhDs: Strategies supporting and enabling the learning conversations of staff and students at postgraduate level. Teaching in Higher Education, 8 (3), 383–397. https://doi.org/10.1080/13562510309400 .

Wisker, G., & Savin-Baden, M. (2009). Priceless conceptual thresholds: Beyond the ‘stuck place’ in writing. London Review of Education, 7 (3), 235–247. https://doi.org/10.1080/14748460903290207 .

Download references

Author information

Authors and affiliations.

University of Brighton, Brighton, UK

Gina Wisker

University of Johannesburg, Johannesburg, South Africa

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Gina Wisker .

Editor information

Editors and affiliations.

Faculty of Education and Culture, Tampere University, Tampere, Finland

Mari Murtonen

Department of Higher Education, University of Surrey, Guildford, UK

Kieran Balloo

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s)

About this chapter

Wisker, G. (2019). Developing Scientific Thinking and Research Skills Through the Research Thesis or Dissertation. In: Murtonen, M., Balloo, K. (eds) Redefining Scientific Thinking for Higher Education. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-24215-2_9

Download citation

DOI : https://doi.org/10.1007/978-3-030-24215-2_9

Published : 22 September 2019

Publisher Name : Palgrave Macmillan, Cham

Print ISBN : 978-3-030-24214-5

Online ISBN : 978-3-030-24215-2

eBook Packages : Education Education (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

• Graduate Jobs
• Careers Advice
• Research skills

Updated on 04 June 2020

Research skills are in demand. This guide explains what research skills are and how you can prove you've got them!

What are research skills?

In a nutshell, research skills help us find answers to questions.

Research skills are the ability to search for, find, collect, analyse, interpret and evaluate information that is relevant to the subject being studied.

Research shapes the future, it teaches us new things and helps us adapt and evolve. Without research, we wouldn't have cars, smartphones or the internet (or this website for that matter!)

Everyone is a researcher

We all research, even if we don't know it.

The internet is a huge part of our lives. Using search engines (like Google) is a way of researching. Whether you're finding cheap flights or a top restaurant, it's all research!

Why are research skills important?

Employers love research skills. Research is an important part of business because it helps companies:

• Report writing
• Keep an eye on their competitors
• Develop new products
• Identify what customers want
• Get better at what they do
• Keep up with changing technologies

Research skills show companies you're able to suggest new ideas and help the business adapt to the ever changing world we live in.

Research saves money

Launching a new product is expensive. Research helps companies find out if anyone will buy it.

Launching a product without research is risky. There might not be a demand for it. The money spent on launch, marketing and production could've been saved if the company did some research.

How can you gain research skills?

You can research using tools and methods like:

• The internet
• Experiments

How can you demonstrate your research skills?

As a graduate, It's likely you've done a lot of researching! For example during:

• Your dissertation
• Assignments
• Group projects

In interviews

Talk about what you researched, how you did it and what you found. Explaining research you've done as part of a group will also demonstrate your teamwork skills #2birds1stone.

Using the S.M.A.R.T framework is helpful way to structure your answer. You can read more about S.M.A.R.T in our planning and organising guide.

Show what you know

Demonstrate your research skills by sharing what you know about the industry or company you want to work for. The more you know, the more likely you are to impress.

Add your research skills to your CV

Especially if you're applying for a job that requires research skills.

In many cases, your CV is your chance to make a first impression. Your CV will help employers check you've got the right skills. If they can see you've got them, it's likely you'll get to the next stage.

Examples of research skills

Here's a list of some research skills for your CV:

• Data collection
• Analysis of information from different sources
• Finding information off the internet
• Critical thinking
• Planning and scheduling
• Interviewing
• Critical analysis

Which careers require research skills?

Research plays a key role in several industries. For example:

• Consumer goods

We love cookies! We use them to improve your experience and help you find jobs. By clicking "Got it" you agree to our Privacy Policy. View terms .

Event: UKRI Digital Research Technical Professional Skills NetworkPlus webinar

UK Research and Innovation (UKRI) is hosting a webinar to launch a new funding opportunity, Digital Research Technical Professional (RTP) Skills NetworkPlus . The webinar panel will include representatives from across UKRI.

The aims of the webinar are to:

• outline the funding opportunity
• provide broader context for UKRI’s ambitions in terms of digital RTP people and skills
• hold a question and answer session on the funding opportunity.

For those unable to attend, please note that the webinar will be recorded and a link to the recording will be made available on the funding opportunity page.

This is the website for UKRI: our seven research councils, Research England and Innovate UK. Let us know if you have feedback or would like to help improve our online products and services .

Suggestions or feedback?

MIT News | Massachusetts Institute of Technology

• Machine learning
• Social justice
• Black holes
• Classes and programs

Departments

• Aeronautics and Astronautics
• Brain and Cognitive Sciences
• Architecture
• Political Science
• Mechanical Engineering

Centers, Labs, & Programs

• Abdul Latif Jameel Poverty Action Lab (J-PAL)
• Picower Institute for Learning and Memory
• Lincoln Laboratory
• School of Architecture + Planning
• School of Engineering
• School of Humanities, Arts, and Social Sciences
• Sloan School of Management
• School of Science
• MIT Schwarzman College of Computing

From steel engineering to ovarian tumor research

Press contact :.

Previous image Next image

Ashutosh Kumar is a classically trained materials engineer. Having grown up with a passion for making things, he has explored steel design and studied stress fractures in alloys.

Throughout Kumar’s education, however, he was also drawn to biology and medicine. When he was accepted into an undergraduate metallurgical engineering and materials science program at Indian Institute of Technology (IIT) Bombay, the native of Jamshedpur was very excited — and “a little dissatisfied, since I couldn’t do biology anymore.”

Now a PhD candidate and a MathWorks Fellow in MIT’s Department of Materials Science and Engineering, Kumar can merge his wide-ranging interests. He studies the effect of certain bacteria that have been observed encouraging the spread of ovarian cancer and possibly reducing the effectiveness of chemotherapy and immunotherapy.

“Some microbes have an affinity toward infecting ovarian cancer cells, which can lead to changes in the cellular structure and reprogramming cells to survive in stressful conditions,” Kumar says. “This means that cells can migrate to different sites and may have a mechanism to develop chemoresistance. This opens an avenue to develop therapies to see if we can start to undo some of these changes.”

Kumar’s research combines microbiology, bioengineering, artificial intelligence, big data, and materials science. Using microbiome sequencing and AI, he aims to define microbiome changes that may correlate with poor patient outcomes. Ultimately, his goal is to engineer bacteriophage viruses to reprogram bacteria to work therapeutically.

Kumar started inching toward work in the health sciences just months into earning his bachelor's degree at IIT Bombay.

“I realized engineering is so flexible that its applications extend to any field,” he says, adding that he started working with biomaterials “to respect both my degree program and my interests."

“I loved it so much that I decided to go to graduate school,” he adds.

Starting his PhD program at MIT, he says, “was a fantastic opportunity to switch gears and work on more interdisciplinary or ‘MIT-type’ work.”

Kumar says he and Angela Belcher, the James Mason Crafts Professor of biological engineering and materials science, began discussing the impact of the microbiome on ovarian cancer when he first arrived at MIT.

“I shared my enthusiasm about human health and biology, and we started brainstorming,” he says. “We realized that there’s an unmet need to understand a lot of gynecological cancers. Ovarian cancer is an aggressive cancer, which is usually diagnosed when it’s too late and has already spread.”

In 2022, Kumar was awarded a MathWorks Fellowship. The fellowships are awarded to School of Engineering graduate students, preferably those who use MATLAB or Simulink — which were developed by the mathematical computer software company MathWorks — in their research. The philanthropic support fueled Kumar’s full transition into health science research.

“The work we are doing now was initially not funded by traditional sources, and the MathWorks Fellowship gave us the flexibility to pursue this field,” Kumar says. “It provided me with opportunities to learn new skills and ask questions about this topic. MathWorks gave me a chance to explore my interests and helped me navigate from being a steel engineer to a cancer scientist.”

Kumar’s work on the relationship between bacteria and ovarian cancer started with studying which bacteria are incorporated into tumors in mouse models.

“We started looking closely at changes in cell structure and how those changes impact cancer progression,” he says, adding that MATLAB image processing helps him and his collaborators track tumor metastasis.

The research team also uses RNA sequencing and MATLAB algorithms to construct a taxonomy of the bacteria.

“Once we have identified the microbiome composition,” Kumar says, “we want to see how the microbiome changes as cancer progresses and identify changes in, let’s say, patients who develop chemoresistance.”

He says recent findings that ovarian cancer may originate in the fallopian tubes are promising because detecting cancer-related biomarkers or lesions before cancer spreads to the ovaries could lead to better prognoses.

As he pursues his research, Kumar says he is extremely thankful to Belcher “for believing in me to work on this project.

“She trusted me and my passion for making an impact on human health — even though I come from a materials engineering background — and supported me throughout. It was her passion to take on new challenges that made it possible for me to work on this idea. She has been an amazing mentor and motivated me to continue moving forward.”

For her part, Belcher is equally enthralled.

“It has been amazing to work with Ashutosh on this ovarian cancer microbiome project," she says. "He has been so passionate and dedicated to looking for less-conventional approaches to solve this debilitating disease. His innovations around looking for very early changes in the microenvironment of this disease could be critical in interception and prevention of ovarian cancer. We started this project with very little preliminary data, so his MathWorks fellowship was critical in the initiation of the project.”

Kumar, who has been very active in student government and community-building activities, believes it is very important for students to feel included and at home at their institutions so they can develop in ways outside of academics. He says that his own involvement helps him take time off from work.

“Science can never stop, and there will always be something to do,” he says, explaining that he deliberately schedules time off and that social engagement helps him to experience downtime. “Engaging with community members through events on campus or at the dorm helps set a mental boundary with work.”

Regarding his unusual route through materials science to cancer research, Kumar regards it as something that occurred organically.

“I have observed that life is very dynamic,” he says. “What we think we might do versus what we end up doing is never consistent. Five years back, I had no idea I would be at MIT working with such excellent scientific mentors around me.”

Share this news article on:

Related links.

• Ashutosh Kumar
• Department of Materials Science and Engineering
• MathWorks Fellowship

Related Topics

• Graduate, postdoctoral
• Health sciences and technology
• Artificial intelligence
• Bioengineering and biotechnology
• Materials science and engineering

Related Articles

A biomedical engineer pivots from human movement to women’s health

Computational imaging researcher attended a lecture, found her career

A. Michael West: Advancing human-robot interactions in health care

Previous item Next item

More MIT News

The power of App Inventor: Democratizing possibilities for mobile applications

Read full story →

Using MRI, engineers have found a way to detect light deep in the brain

A better way to control shape-shifting soft robots

Professor Emeritus David Lanning, nuclear engineer and key contributor to the MIT Reactor, dies at 96

Discovering community and cultural connections

MIT Supply Chain Management Program earns top honors in three 2024 rankings

• More news on MIT News homepage →

Massachusetts Institute of Technology 77 Massachusetts Avenue, Cambridge, MA, USA

• Map (opens in new window)
• Events (opens in new window)
• People (opens in new window)
• Careers (opens in new window)
• Accessibility
• Social Media Hub
• MIT on Facebook
• MIT on YouTube
• MIT on Instagram

Princeton University

Data drives quicker, safer decisions for race cars and robots.

By Molly Sharlach

May 10, 2024

This article is from the Accelerating Innovation with AI issue of EQuad News magazine.

Race car drivers handle a unique set of challenges, aiming to win while steering through a shifting pack of opponents. In a project to train algorithms to master this high-stakes task, Princeton researchers are applying knowledge of how individual decisions influence group behavior in uncertain and changing environments — a model problem with myriad applications.

Naomi Ehrich Leonard ’85, the Edwin S. Wilsey Professor of Mechanical and Aerospace Engineering and chair of the department, has long used mathematical models to understand the remarkably fast, robust, and adaptable group decision-making in natural systems like swarms of honeybees and flocks of birds. She has applied these models in settings including a group of robots exploring the ocean depths.

Now, Leonard has teamed up with Jaime Fernández Fisac , an expert in safe robotics and human-centered autonomy, to improve safety and performance in racing. Their methods combine the mathematics of group dynamics with techniques from machine learning and control systems, and use data from real and simulated races. The goal is to improve coordination on multiple levels — between each car’s AI and its driver, and among all the cars on the track.

With support from the Toyota Research Institute, the team is building neural networks — multilayered algorithms inspired by the organization of neurons in the brain — that will use training data to tune opinion dynamics models that ensure split-second breaking of costly decision-making deadlocks.

“We want to make sure that the AI can convey its situational awareness quickly and clearly,” said Fisac, an assistant professor of electrical and computer engineering . “Transparency is critical when you deal with increasingly sophisticated driver assistance systems,” like current systems that warn of lane departures or vehicles in the driver’s blind spot, or even nudge the steering or tap the brakes to avoid a potential accident.

Fisac and Leonard seek to develop onboard AI systems that can rapidly infer and adopt drivers’ shifting priorities during a race, as well as warn them about hazards or directly intervene in the vehicle’s control, all without unduly distracting or, even worse, startling the human behind the wheel.

Racing is “uniquely dynamic and safety-critical,” Fisac said. “You’re really pushing the car to the limits of its operating envelope, and a single misstep can have catastrophic consequences.”

Related News

Science has an AI problem. This group says they can fix it.

Microscopes reveal a frozen moment in cellular time. This new method records cells as they work.

How do you make a robot smarter? Program it to know what it doesn’t know.

Engineers use AI to wrangle fusion power for the grid

Can language models read the genome? This one decoded mRNA to make better vaccines.

Built for AI, this chip moves beyond transistors for huge computational gains

Naomi Ehrich Leonard

Jaime Fernández Fisac

Data Science

Related departments.

Electrical and Computer Engineering

Mechanical and Aerospace Engineering