1068 lines
85 KiB
Text
1068 lines
85 KiB
Text
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<noscript><meta http-equiv="Refresh" content="0; URL=/big_pipe/no-js?destination=/news/stories/hearing-data-speak-video" />
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</noscript><meta name="description" content="Video interview of Stanley Ahalt, Ph.D., who is helping HEAL-funded scientists make their data useful with metadata as part of the HEAL Data Ecosystem." />
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<meta property="og:updated_time" content="Wed, 10/23/2024 - 11:16am" />
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<span class="a2a_kit a2a_kit_size_25 " data-a2a-url="https://heal.nih.gov/news/stories/hearing-data-speak-video" data-a2a-title="Video: Hearing Data Speak"><a class="a2a_button_facebook btn social-share-button" aria-label="social-facebook"></a><a class="a2a_button_x btn social-share-button" aria-label="social-twitter"></a><a class="a2a_button_linkedin btn social-share-button" aria-label="social-linkedin"></a><a class="a2a_button_email btn social-share-button" aria-label="social-email"></a></span></div>
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<iframe src="https://heal.nih.gov/media/oembed?url=https%3A//www.youtube.com/watch%3Fv%3DKZoUOsQScQk&max_width=540&max_height=305&hash=tXo0QNXRT1MqDsCKdbCng1MwXOn3BqOK0iNyCh8aOb0" width="540" height="304" class="media-oembed-content" loading="eager" title="How data sharing leads to better research to overcome pain and addiction"></iframe>
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<p>“We don’t understand pain well, and we don’t understand addiction well,” says Stanley Ahalt, Ph.D., of the University of North Carolina at Chapel Hill, “but we can use the urgency of the health challenge to do better science.”</p>
|
||
|
||
<p>Data sharing is key to bringing research to life. Open science is a key motivation for the Helping to End Addiction Long-term<sup>®</sup> Initiative, or <a href="https://heal.nih.gov/">NIH HEAL Initiative<sup>®</sup></a>, Data Ecosystem. To match the complexity of the opioid crisis, HEAL uses an all-hands-on-deck approach to finding scientific solutions: Currently, more than 1,000 research projects are underway ranging from basic science to health services research. As a result, says Ahalt, HEAL data is highly diverse – imaging, molecular, exposure, qualitative interviews – and there’s a lot of it.</p>
|
||
|
||
<p>As part of the <a href="https://www.healdatafair.org/">HEAL Stewards</a> group, Ahalt works with HEAL-funded scientists to help them make their data useful, as defined by the acronym FAIR: findable, accessible, interoperable, and reusable. FAIR data principles are the bedrock of open science, in which research results are widely available to everyone, not just researchers in a specific field.</p>
|
||
|
||
<p>As part of that work, the <a href="https://heal.nih.gov/data/heal-data-ecosystem">HEAL Data Ecosystem</a> focuses on metadata (“data about the data”), explains Ahalt. Put simply, metadata adds contextual information about the data to make it more useful to others. Examples include the title and keywords in a research paper, when it was published, and how the experiments were done. Imagine trying to locate a picture on your smartphone – your phone uses metadata about images to retrieve those family beach photos from two summers ago using search terms that identify metadata. </p>
|
||
|
||
<p>Through listening to data speak, HEAL is taking a holistic approach to health and disease, says Ahalt. Using data creatively brings together different scientific perspectives, to look beyond molecules, organs, or even specific diseases – but rather to see a “whole human who needs help.”</p>
|
||
|
||
<p>Gathering all the data together into the HEAL Data Ecosystem offers hope for those people and communities who need it, Ahalt says.</p>
|
||
|
||
<p>“We can figure out collectively how to look at this problem in a more creative way.”</p>
|
||
|
||
<p>Watch <a href="https://www.youtube.com/watch?v=KZoUOsQScQk">Ahalt’s full interview</a> (2:58 min. watch).</p>
|
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HEAL Data Ecosystem
|
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<p>Learn more about the HEAL Data Ecosystem.</p>
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Learn More
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Complying With the HEAL Data Sharing Policy
|
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<p>Learn about the groups funded to work with research teams throughout the NIH HEAL Initiative to provide guidance in implementing FAIR data management and sharing practices.</p>
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