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Learning_Pathways.html
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<!DOCTYPE html>
<!--
Transit by TEMPLATED
templated.co @templatedco
Released for free under the Creative Commons Attribution 3.0 license (templated.co/license)
-->
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Data Research Skills Learning Guide</title>
<meta http-equiv="content-type" content="text/html; charset=utf-8" />
<meta name="description" content="" />
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</head>
<body>
<!-- Header -->
<header id="header">
<h1><a href="https://www.library.cmu.edu/">CMU Libraries</a></h1>
<nav id="nav">
<ul>
<li><a href=" ">Self-Assessment</a></li>
<li><a href=" ">Learning Resources</a></li>
</ul>
</nav>
</header>
<!-- Main -->
<section id="main" class="wrapper">
<div class="container">
<header class="major">
<!--<h2 id="Learning_Guide">Learning Guide</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Learning_Pathways" class="image fit"><img src="images/Learning Pathways Page Header Banner.png" alt="Data Research Skills Learning Pathways" /></span></div>
</div>
</header>
<p>The following six skill areas have been identfied by ULDS as key foundational skill areas that researchers need in order to work effectively with data. Click the boxes below to learn more about each of these skillsets. Learn more about why these skills are critical from researchers from across disciplines. Then, find out more about how you can build these skills! There are many ways to learn and it is never to late to add new tools to your repertoire.
<h4>Assess your skills</h4> <p>Already have some of these skills? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b>, which provides examples of research goals and clearly identifies the foundational data skills needed to reach them. </p>
<div class="row 50% uniform">
<div class="4u"><span class="image fit"><a href="#Programming with R or Python"><img src="images/Learning Pathways Menu Button Programming.png" alt="Programming with R or Python" /></a></span></div>
<div class="4u"><span class="image fit"><a href="#Statistical Analysis"><img src="images/Learning Pathways Menu Button Statistical Analysis.png" alt="Statistical Analysis" /></a></span></div>
<div class="4u"><span class="image fit"><a href="#Data Preparation and Cleaning"><img src="images/Learning Pathways Menu Button Data Preparation and Cleaning.png" alt="Data Preparation and Cleaning" /></a></span></div>
<div class="4u"><span class="image fit"><a href="#Research Data Management"><img src="images/Learning Pathways Menu Button Research Data Management.png" alt="Research Data Management" /></a></span></div>
<div class="4u"><span class="image fit"><a href="#Computing Concepts"><img src="images/Learning Pathways Menu Button Computing Concepts.png" alt="Computing Concepts" /></a></span></div>
<div class="4u"><span class="image fit"><a href="#Communication"><img src="images/Learning Pathways Menu Button Communication.png" alt="Communication" /></a></span></div>
</div>
<!--<ul class="actions">
<li><a href="#Programming with R or Python" class="button big">Programming with R or Python</a></li></ul>
<ul class="actions">
<li><a href="#Statistics" class="button big">Statistics</a></li></ul>
<ul class="actions">
<li><a href="#Data Preparation and Cleaning" class="button big">Data Preparation and Cleaning</a></li></ul>
<ul class="actions">
<li><a href="#Research Data Management" class="button big">Research Data Management</a></li></ul>
</ul>-->
</div>
</section>
<!-- One -->
<div class="container">
<header class="major">
<!--<h2 id="Programming with R or Python">Programming with R or Python</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Programming with R or Python" class="image fit"><img src="images/Learning Pathways Section Header Banner Programming with Python or R.png" alt="Programming with Python or R" /></span>
</div>
</header>
<p><a href="https://www.r-project.org/">R</a> and <a href="https://www.python.org/">Python</a> are programming languages. Each offers powerful capabilities for research and data analysis. Both languages are open source. Each has a wide community of users and resources for learning. Some people learn both languages, while others rely on one. While Python offers general utility for research with data, R is used for more focused statistical analysis. Many researchers underestimate how significant programming skills may be to enable them to reach their goals. </p>
<h4>Common Researcher Pitfalls: Python or R</h4>
<p>Researchers often make the following miscalculations:
<ul>
<li>Underestimate how much time it will take to learn Python or R. </li>
<li>Underestimate how soon their research will require these tools. </li>
<li>Assume that their level of skill with Python or R is adequate to achieve their research goals. </li>
</ul>
</p>
<h4> Self-Assessment:</h4>
<p> Already know some Python or R? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Python and R Can Be Used in Research Across the Disciplines</h3>
<p>Scholars in different disciplines use these tools in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn Python or R</h3>
<p>There are a variety of ways to learn these tools. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li><b><a href="https://csd.cmu.edu/course-profiles/15-112-fundamentals-programming-computer-science">Computer Science</a></b></li>
<li><b><a href="https://api.heinz.cmu.edu/courses_api/course_detail/90-812">Heinz</a></b></li>
<li><b><a href="https://www.cmu.edu/tepper/programs/courses/46881.html">Tepper</a></b></li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>University Libraries host <b><a href="https://library.cmu.edu/about/publications/news/building-skillset-software-carpentry">free workshops for researchers</a></b> using the <b><a href="https://software-carpentry.org/">Software Carpentries</a></b> curriculum.</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>The book <b><i><a href="https://r4ds.had.co.nz/">R for Data Science</a></b></i> is formally available in a free online version.</li>
<li>The book <b><i><a href="http://vufind.library.cmu.edu/vufind/Record/1718339/Description#tabnav">Learn Python the Hard Way</a></b></i> is available as an electronic text through CMU libraries. </li>
<li>Follow the <b><a href="">Software Carpentries</a></b> curriculum independently, and use this <b><a href="">skills-assessment module</a></b> to test your knowledge.</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li><b><a href="https://www.library.cmu.edu/content/linkedin-learning">LinkedIn Learning</a></b>: Courses are free to CMU students, faculty and staff, and include multiple options for learning R or Python.</li>
<li>CMU’s Open Learning Initiative (OLI) provides a free Python course:<b><a href="https://oli.cmu.edu/courses/principles-of-computation-with-python-open-free/"> Principles of Computation with Python — Open & Free</a></b></li>
<li><b><a href="https://www.coursera.org/">Coursera</a></b> offers a variety of options for learning R or Python, and many courses can be audited free.</li>
<li><b><a href="https://www.edx.org/">edX</a></b> offers a variety of options for learning R or Python, and courses can be audited free.</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>Google offers a <b><a href="https://developers.google.com/edu/python/">Python class</a></b>, a free class “for people with a little bit of programming experience who want to learn Python.”</li>
<li>swirl: <b><a href="https://swirlstats.com/">swirl</a></b> is a software package for the R programming language that turns the R console into an interactive learning environment.</li>
<li>Mark Gardener is an author and consultant who provides a guide to <b><a href="https://www.dataanalytics.org.uk/data-analytics-knowledge-base-tips-tricks-r-excel/learn-r/">“Getting Started with R”</a></b> on his website.</li>
<li>Paul van der Laken is a data analyst who provides a <b><a href="https://paulvanderlaken.com/2017/10/18/learn-r/">6-step guide for learning R</a></b> on his website.</li>
</ul>
</div>
<!-- Two -->
<div class="container">
<header class="major">
<!--<h2 id="Statistics">Statistics</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Statistical Analysis" class="image fit"><img src="images/Learning Pathways Section Header Banner Statistical Analysis.png" alt="Statistical Analysis" /></span></div>
</div>
</header>
<h4> Self-Assessment:</h4>
<p> Already know some Statistics? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Statistics Can Be Used in Research Across the Disciplines</h3>
<p>Scholars in different disciplines use statistics in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn Statistics</h3>
<p>There are a variety of ways to learn more about how to use statistics in your research. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
</div>
<!-- Three -->
<div class="container">
<header class="major">
<!--<h2 id="Data Preparation and Cleaning">Data Preparation and Cleaning</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Data Preparation and Cleaning" class="image fit"><img src="images/Learning Pathways Section Header Banner Data Preparation and Cleaning.png" alt="Data Preparation and Cleaning" /></span>
</div>
</div>
</header>
<p><Intro/description. </p>
<h4>Common Researcher Pitfalls: Data Preparation and Cleaning>
<p>Researchers often make the following miscalculations:
<ul>
<li>... </li>
<li>... </li>
<li>... </li>
</ul>
</p>
<h4> Self-Assessment:</h4>
<p> Already know some things about data preparation and cleaning? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Data Preparation and Cleaning Can Be Important in Research Performed Across the Disciplines</h3>
<p>Scholars in different disciplines use statistics in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn More About Data Preparation and Cleaning</h3>
<p>There are a variety of ways to learn more about how to perform data preparation and cleaning in your research. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<!-- Four -->
<div class="container">
<header class="major">
<!--<h2 id="Research Data Management">Research Data Management</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Research Data Management" class="image fit"><img src="images/Learning Pathways Section Header Banner Research Data Management.png" alt="Research Data Management" /></span></div>
</div>
</header>
<p>to learn more</p>
</div>
<p><Intro/description. </p>
<h4>Common Researcher Pitfalls: Research Data Management>
<p>Researchers often make the following miscalculations:
<ul>
<li>... </li>
<li>... </li>
<li>... </li>
</ul>
</p>
<h4> Self-Assessment:</h4>
<p> Already know some things about Research Data Management? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Research Data Management Can Be Important in Research Performed Across the Disciplines</h3>
<p>Scholars in different disciplines use statistics in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn More About Research Data Management</h3>
<p>There are a variety of ways to learn more about how to manage your research data. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<!-- Five -->
<div class="container">
<header class="major">
<!--<h2 id="Communication">Communication</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Communication" class="image fit"><img src="images/Learning Pathways Section Header Banner Communication.png" alt="Communication" /></span></div>
</header></div>
<p><Intro/description. </p>
<h4>Common Researcher Pitfalls: Communication>
<p>Researchers often make the following miscalculations:
<ul>
<li>... </li>
<li>... </li>
<li>... </li>
</ul>
</p>
<h4> Self-Assessment:</h4>
<p> Already know some things about research communication? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Research Communication SKills Can Be Important in Research Performed Across the Disciplines</h3>
<p>Scholars in different disciplines use statistics in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn More About Research Communication</h3>
<p>There are a variety of ways to learn more about how to communicate effectively about your research and your data. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<!-- Six -->
<div class="container">
<header class="major">
<!--<h2 id="Computing Concepts">Computing Concepts</h2>-->
<div class="row 50% uniform">
<div class="12u$"><span id="Computing Concepts" class="image fit"><<img src="images/Learning Pathways Section Header BannerComputing Concepts.png" alt="Computing Concepts" /></span></div>
</div>
</header>
<p>to learn more</p>
</div>
<p><Intro/description. </p>
<h4>Common Researcher Pitfalls: Computing Concepts>
<p>Researchers often make the following miscalculations:
<ul>
<li>... </li>
<li>... </li>
<li>... </li>
</ul>
</p>
<h4> Self-Assessment:</h4>
<p> Already know some things about computing? Want to assess whether your level of knowledge of these and other skills will allow you to achieve your research goals? Refer to this <b><a href="#skill-match matrix">skill-match matrix</a></b> to get a better sense of what kinds of skills are needed for different research goals.</p>
<h3>How Computing Concepts Can Be Important in Research Performed Across the Disciplines</h3>
<p>Scholars in different disciplines use statistics in different ways to support their research. Find out more about the range of applications, and the applications commonly applied in your field!</p>
<ul>
<li><a href="">Social Sciences</a></li>
<li><a href="">Life Sciences</a></li>
<li><a href="">Humanities</a></li>
<li><a href="">Business</a></li>
<li><a href="">(Etc.)</a></li>
</ul>
<h3>How to Learn More About Computing Concepts for Research with Data</h3>
<p>There are a variety of ways to learn more about how to communicate effectively about your research and your data. No one way is the "right" way. Choose an approach that best fits how you learn and the time and resources you have available.</p>
<h4>Ways to Learn</h4>
<h5>Take a class at CMU:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Attend a workshop with CMU University Libraries:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Use books and other materials for self-study:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Take an online courses:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<h5>Other resources:</h5>
<ul>
<li>One</li>
<li>Two</li>
<li>Three</li>
</ul>
<!-- Seven -->
<div class="container">
<header class="major">
<h2 id="skill-match matrix">Skill-Match Matrix</h2><div class="row 50% uniform">
</header>
<p> Different research goals may require different levels of skill in the foundational data research skillsets. Sometimes researchers overestimate how far their existing knowledge and ability will take them towards their objectives, while others may underestimate how much they can achieve with their existing abilities. This section describes real research goals and describes the specific skills and abilities needed within these skillsets in order to achieve them.</p>
<h3 id=Python or R Skill Matrix>Python or R</h3>
<div class="table-wrapper">
<table class="alt">
<thead>
<tr>
<th>Research Goals</th>
<th>Needed Skills with Python or R</th>
</tr>
</thead>
<tbody>
<tr>
<td>Researcher A wanted to determine... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher B analyzed _____ data with the goal of understanding... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher C sought to solve... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
<h3 id=Statistics Skill Matrix>Statistics</h3>
<div class="table-wrapper">
<table class="alt">
<thead>
<tr>
<th>Research Goals</th>
<th>Needed Skills with Statistics</th>
</tr>
</thead>
<tbody>
<tr>
<td>Researcher A wanted to determine... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher B analyzed _____ data with the goal of understanding... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher C sought to solve... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
<h3 id=Data Preparation and Cleaning Skill Matrix>Data Preparation and Cleaning</h3>
<div class="table-wrapper">
<table class="alt">
<thead>
<tr>
<th>Research Goals</th>
<th>Needed Skills with Data Preparation and Cleaning</th>
</tr>
</thead>
<tbody>
<tr>
<td>Researcher A wanted to determine... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher B analyzed _____ data with the goal of understanding... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher C sought to solve... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
<h3 id=Research Data Management Skill Matrix>Research Data Management</h3>
<div class="table-wrapper">
<table class="alt">
<thead>
<tr>
<th>Research Goals</th>
<th>Needed Skills with Research Data Management</th>
</tr>
</thead>
<tbody>
<tr>
<td>Researcher A wanted to determine... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher B analyzed _____ data with the goal of understanding... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
<li>quis nostrud exercitation ullamco laboris nisi</li>
</ul>
</td>
</tr>
<tr>
<td>Researcher C sought to solve... Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. </td>
<td>
<ul>
<li>quis nostrud exercitation ullamco laboris nisi</li>
<li>ut aliquip ex ea commodo consequat</li>
<li>Ut enim ad minim veniam,</li>
</ul>
</td>
</tr>
</tbody>
</table>
</div>
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