1328 lines
91 KiB
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1328 lines
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<meta name="description" content="The NIH HEAL Data Ecosystem provides a web interface to search for and analyze HEAL results and data. It connects to data stored in various repositories." />
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<meta property="og:updated_time" content="Mon, 08/19/2024 - 9:45am" />
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<title>About the HEAL Data Ecosystem | NIH HEAL Initiative</title>
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<h1> About the HEAL Data Ecosystem </h1>
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<p><a><strong>On this page</strong>:</a></p><ul><li><a href="#ecosystem">What Is the HEAL Data Ecosystem?</a></li><li><a href="#platform">What Is the HEAL Data Platform?</a></li><li><a href="#semantic">What is HEAL Semantic Search?</a></li><li><a href="#data-usage">How Will HEAL Data Help Address the Opioid Crisis?</a></li><li><a href="#questions">What HEAL-funded Research Teams Support the HEAL Data Ecosystem?</a></li></ul>
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<h2 id="ecosystem">What Is the HEAL Data Ecosystem?</h2><p>The HEAL Data Ecosystem is part of the Helping to End Addiction Long-term<sup>®</sup> Initiative, or NIH HEAL Initiative<sup>®</sup>, an NIH-wide effort to speed scientific solutions to stem the evolving national opioid public health crisis. The HEAL Data Ecosystem is made up of two tools and two support teams which support <a href="https://heal.nih.gov/director/open-science">open science</a> in HEAL, accelerating the sharing of HEAL-generated data and results among the broad community of researchers, healthcare providers, community leaders, policymakers, and other HEAL stakeholders who can benefit from learning the results of the initiative’s research. The HEAL Data Ecosystem connects the HEAL community, enabling HEAL data to be used to make discoveries and applied to benefit affected communities.</p>
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<img loading="lazy" src="/files/heal-data-ecosystem-diagram.png" width="1400" height="880" alt="Image shows the players involved in the HEAL data ecosystem. HEAL investigators are generating data, the HEAL Platform is being built by the University of Chicago team and will provide a web interface to search for and analyze HEAL results and data. The Platform will connect to HEAL-generated data stored in various secured repositories. The HEAL-funded RENCI/RTI team will provide data management, stewardship, and support to help investigators make their data FAIR and to connect to the Platform." class="img-fluid" />
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<figcaption class="figure-caption"> <p><em>All HEAL data must be findable, accessible, interoperable, and reusable (FAIR, see </em><a href="https://heal.nih.gov/data/public-access-data"><em>HEAL Data Sharing Policy</em></a><em>). This aligns with broader efforts across NIH, including the NIH Data Management and Sharing Policy that took effect in January 2023.</em></p> </figcaption>
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<h2 id="platform">What Is the HEAL Data Platform?</h2><p>The HEAL Data Platform provides a secure environment where users can search for and discover NIH HEAL-funded studies, as well as access and analyze data from those studies. The Platform connects to <a href="https://www.healdatafair.org/resources/guidance/selection">HEAL-compliant repositories</a> where data are stored, providing a single point of access to the diverse array of studies and data funded by the NIH HEAL Initiative. The HEAL Data Platform offers a secure, <a href="https://datascience.nih.gov/strides#:~:text=The%20NIH%20Science%20and%20Technology,access%20cloud%20services%20and%20environments.">STRIDES-enabled</a> cloud computing environment for data analysis, providing researchers with easy access to powerful commercial and open-source software tools.</p>
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<a class="btn btn-secondary gtm-content-button mb-1" href=https://www.healdatafair.org/>
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Learn how to make your data FAIR
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<h2 id="semantic">What Is HEAL Semantic Search?</h2><p>The NIH HEAL Initiative also provides HEAL Semantic Search (HSS), an easy to use, concept-based search tool that connects information about HEAL studies and biomedical concepts. Unlike traditional keyword matching, HSS uses synonyms and concepts related to HEAL research to uncover connections between biomedical concepts found in studies’ metadata with those in biomedical ontologies. This <a href="https://docs.google.com/document/d/1njtRJbdHePRE-1kYtmyli-NqVuwU9bdqZ-42RNQGpBI/edit#heading=h.587j3mh06f7k">expands the search facilities</a> of the HEAL Data Platform, allowing users to deep dive into HEAL research and related biomedical topics to identify studies, datasets, and variables that might be of interest to them through unexpected relationships.</p><p>Using HEAL Semantic Search, users will be able to:</p><ul><li>Expand a search by looking at synonyms and related terms.</li><li>Identify HEAL studies, variables, and Common Data Elements related to search terms and search results.</li><li>Find out more about studies relevant to their research and identify potential collaborators.</li><li>Identify gaps in existing research to develop unique research questions.</li><li>Dive deeper into studies and variables of interest on the HEAL Data Platform. </li></ul>
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<h2 id="data-usage">How Will HEAL Data Help Address the Opioid Crisis?</h2><h3>Creating a Data Ecosystem</h3><p>The HEAL Data Platform allows a broad range of stakeholders, including investigators, advocates, clinicians and community organizers, to easily find HEAL data and research results. Secure workspaces in the Platform provide user-specific space and software tools for analyses at any scale. Users can leverage the Platform to inform their own research, practice policies, and inquiries. There are many possible uses for HEAL data (see examples below).</p>
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<img loading="lazy" src="/files/heal-use-cases-data-ecosystem.png" width="1336" height="630" alt="A graphic showing use case examples for the data ecosystem, segmented by Community Leader: prevent opioid overdoses, look for proven interventions that could work in your community. Clinician: learn about new treatment options, review clinical trial results that may help you guide treatment options for patients. Policymaker: monitor research progress, browse results that could inform policy changes or resource redistributions. Researcher: discover candidate pain therapeutic targets, compare data." class="img-fluid" />
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<p>As the HEAL Data Ecosystem grows, it will be possible to complete more complex searches and data analyses.</p>
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<h2 id="questions">What HEAL-funded Research Teams Support the HEAL Data Ecosystem?</h2><p>The HEAL Data Stewardship Group and the HEAL Data Platform Team collaborate with HEAL investigators on HEAL Data Ecosystem efforts. A <a href="https://heal.nih.gov/data/data-ecosystem-collective-board">Collective Board</a>, with rotating members from various HEAL studies, guides the overall strategy and direction of the HEAL Data Ecosystem.</p><p><strong>HEAL Data Stewardship Group</strong></p><p>The <a href="https://www.healdatafair.org/">HEAL Data Stewardship Group</a> (HEAL Stewards) includes members from the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill and RTI International. The HEAL Stewards support HEAL investigators with data management, data sharing, data standards, data analysis, repository selection, HEAL Data Platform registration, and more.</p><ul><li>Visit the <a href="https://www.healdatafair.org/resources">HEAL Stewards’ Resources page</a> for more information about selecting repositories, documenting metadata, sharing sensitive data, the Fresh FAIR webinar series, FAQs, and HEAL Semantic Search.</li><li>Schedule a meeting or contact the HEAL Stewards to discuss your data management needs by submitting a <a href="https://docs.google.com/forms/d/e/1FAIpQLSc1gGjOQ7UsmBlMuqUzczPnbjKnbH2hjWgGLrY2xVsRH3n1vg/viewform">Connect With Us</a> form request.</li></ul><p><strong>HEAL Data Platform Team</strong></p><p>The HEAL Data Platform team includes individuals from the University of Chicago. To connect with the HEAL Data Platform team for support registering your study, submitting metadata, and obtaining access to a cloud-based workspace, email <a href="/cdn-cgi/l/email-protection#d1b9b4b0bdfca2a4a1a1bea3a591b6b4bfe2ffbea3b6"><span class="__cf_email__" data-cfemail="a2cac7c3ce8fd1d7d2d2cdd0d6e2c5c7cc918ccdd0c5">[email protected]</span></a>.</p><p> </p><h2>You May Also Be Interested In:</h2>
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