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        <title>DUOS (trial) Blog</title>
        <link>https://kevinmarete.github.io/duos-blog-trial/</link>
        <description>DUOS (trial) Blog</description>
        <lastBuildDate>Fri, 21 Nov 2025 00:00:00 GMT</lastBuildDate>
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            <title><![CDATA[How to access and export controlled data to Terra via DUOS]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/</guid>
            <pubDate>Fri, 21 Nov 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Step-by-step instructions to log into and set up DUOS to access controlled data for analysis in a Terra workspace.]]></description>
            <content:encoded><![CDATA[<p><em>Step-by-step instructions to log into and set up DUOS to access controlled data for analysis in a Terra workspace.</em></p>
<p>AnVIL users: dbGaP authorization is still applicable to access AnVIL datasetsYou do not have to use DUOS to access controlled data. To enable dbGaP access, link your NIH account in Terra (enables access to controlled data granted by dbGaP in both Terra and the AnVIL Data Explorer). For step-by-step instructions, see&nbsp;Access controlled-data by linking your NIH account in Terra.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="step-1-request-access-on-duos">Step 1: Request access on DUOS<a href="https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/#step-1-request-access-on-duos" class="hash-link" aria-label="Direct link to Step 1: Request access on DUOS" title="Direct link to Step 1: Request access on DUOS" translate="no">​</a></h2>
<p><strong>1.1.</strong>&nbsp;Go to&nbsp;duos.org&nbsp;and click&nbsp;<strong>sign-up/sign in</strong>&nbsp;using MSFT or Google SSO.&nbsp;<strong>Use the same login you use for</strong>&nbsp;<strong>app.terra.bio</strong>.&nbsp;</p>
<p><strong>1.2.</strong>&nbsp;Accept the Terms of service.</p>
<p><strong>1.3.</strong>&nbsp;In the&nbsp;<strong>Researcher Console</strong>, select&nbsp;<strong>Your Profile</strong>&nbsp;under your name (top right).</p>
<p><strong>1.4.</strong>&nbsp;Once you land on the profile page, add your&nbsp;<strong>full name</strong>&nbsp;and select your&nbsp;<strong>institution</strong>&nbsp;from the dropdown (start to fill in the name).&nbsp;</p>
<p><strong>1.5.</strong>&nbsp;Link your&nbsp;<strong>eRA Commons ID</strong>. This will allow you to request access to controlled data.</p>
<p>You’ll be taken to the external NIH page to sign into your eRA Commons account.</p>
<p><strong>1.6.</strong>&nbsp;Invite your signing official to duos.org to register and give you a&nbsp;<strong>library card</strong>. See&nbsp;How to pre-authorize researchers to submit Data Access Requests (DARs) in DUOS&nbsp;for instructions.</p>
<p><strong>1.7.</strong>&nbsp;Once you receive a Library Card, login to the&nbsp;<strong>DUOS Researcher Console</strong>. You should see your library card in the Profile page.</p>
<p><strong>1.8</strong>. Go to the&nbsp;<strong>Data Library</strong>&nbsp;(<a href="https://duos.org/datalibrary" target="_blank" rel="noopener noreferrer" class="">https://duos.org/datalibrary</a>) and filter/search for the dataset you’re looking for. Note that the example dataset in this doc is GTEx, but the instructions are not specific to that dataset.&nbsp;&nbsp;</p>
<p><strong>1.9.</strong>&nbsp;Select the&nbsp;<strong>dataset of interest</strong>&nbsp;(circled in screenshot) and click&nbsp;<strong>apply for access</strong>&nbsp;at the bottom right.</p>
<p><strong>1.10.</strong>&nbsp;Fill out your&nbsp;<strong>data access request form</strong>, with as much detail as possible.</p>
<p><strong>1.11.</strong>&nbsp;Make sure to&nbsp;<strong>attest to all terms</strong>&nbsp;in the library card agreements (screenshot below) by clicking the&nbsp;<strong>blue Attest button</strong>.</p>
<p><strong>1.12.</strong>&nbsp;Submit your&nbsp;<strong>DAR</strong>&nbsp;by clicking the blue&nbsp;<strong>Submit</strong>&nbsp;button (bottom left) beneath the addendum summarizing the requested datasets grouped by data use terms.</p>
<h4 class="anchor anchorTargetStickyNavbar_Vzrq" id="what-to-expect">What to expect<a href="https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/#what-to-expect" class="hash-link" aria-label="Direct link to What to expect" title="Direct link to What to expect" translate="no">​</a></h4>
<p>It will take a few days to a few weeks for your DAR to be approved. You will get a notification in your email when you have access to the dataset.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="step-2-export-snapshot-to-terra-from-the-duos-library">Step 2: Export snapshot to Terra from the DUOS Library<a href="https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/#step-2-export-snapshot-to-terra-from-the-duos-library" class="hash-link" aria-label="Direct link to Step 2: Export snapshot to Terra from the DUOS Library" title="Direct link to Step 2: Export snapshot to Terra from the DUOS Library" translate="no">​</a></h2>
<p><strong>2.1.</strong>&nbsp;Once your DAR is approved, return to the&nbsp;<strong>DUOS Data Library</strong>, where you should now see a blue&nbsp;<strong>Export link</strong>&nbsp;in the&nbsp;<strong>View by Dataset</strong>&nbsp;tab under&nbsp;<strong>Export to Terra</strong>&nbsp;(right column) .</p>
<p><strong>2.2.</strong>&nbsp;Clicking the button should allow you to export to an&nbsp;<strong>existing Terra workspace</strong>&nbsp;or&nbsp;<strong>to create a new one</strong>.</p>
<p><strong>2.3.</strong>&nbsp;Note that if you’re accessing&nbsp;<strong>controlled data</strong>, DUOS will automatically&nbsp;<strong>enable additional security</strong>&nbsp;on your new or existing workspace.&nbsp;</p>
<h4 class="anchor anchorTargetStickyNavbar_Vzrq" id="what-to-expect-1">What to expect<a href="https://kevinmarete.github.io/duos-blog-trial/2025/11/21/how-to-access-and-export-controlled-data-to-terra-via-duos/#what-to-expect-1" class="hash-link" aria-label="Direct link to What to expect" title="Direct link to What to expect" translate="no">​</a></h4>
<p>DUOS will import the data snapshot to a new or existing workspace.</p>
<p>It will take a few minutes to export the snapshot. You’ll get a green popup (upper right) when data is in your workspace.</p>
<p>Once you refresh your page, you’ll see the data tables containing all the snapshot data and metadata in the Data tab of your workspace. Note the security shield at the top right indicating additional security monitoring.</p>]]></content:encoded>
            <category>Blog posts</category>
        </item>
        <item>
            <title><![CDATA[NCURA Workshop: NIH Data Repositories]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/11/ncura-workshop-nih-data-repositories/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/11/ncura-workshop-nih-data-repositories/</guid>
            <pubDate>Mon, 11 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[Sofia Labrecque and Jonathan Lawson The Broad Institute of MIT and Harvard]]></description>
            <content:encoded><![CDATA[<p>Sofia Labrecque and Jonathan Lawson<br>
The Broad Institute of MIT and Harvard</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="nih-repositories-a-landscape-analysis">NIH Repositories: A Landscape Analysis<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/11/ncura-workshop-nih-data-repositories/#nih-repositories-a-landscape-analysis" class="hash-link" aria-label="Direct link to NIH Repositories: A Landscape Analysis" title="Direct link to NIH Repositories: A Landscape Analysis" translate="no">​</a></h2>
<p><img decoding="async" loading="lazy" src="data:image/png;base64,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" width="113" height="63" class="img_ev3q"></p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/ncura-workshop-nih-data-repositories-2-da0cf38aa66b97423ee79c35a9c07e01.png" width="1164" height="927" class="img_ev3q"></p>
<p>See the full article here: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5374625" target="_blank" rel="noopener noreferrer" class="">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5374625</a></p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="workshop-reference-graphs">Workshop Reference Graphs<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/11/ncura-workshop-nih-data-repositories/#workshop-reference-graphs" class="hash-link" aria-label="Direct link to Workshop Reference Graphs" title="Direct link to Workshop Reference Graphs" translate="no">​</a></h2>




















<table><thead><tr><th>Total Number of Repositories by Access type</th></tr></thead><tbody><tr><td><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/ncura-workshop-nih-data-repositories-3-7efc8f0a9328ec12a134845b3078c953.png" width="536" height="369" class="img_ev3q"></td></tr><tr><td>---</td></tr><tr><td><strong>Total Number of Repositories by Data type</strong></td></tr><tr><td><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/ncura-workshop-nih-data-repositories-4-5ff929010a50ff8a97ece56366926222.png" width="512" height="351" class="img_ev3q"></td></tr></tbody></table>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="the-nih-sponsored-repository-list-will-be-valuable-to-principal-investigators-pis">The NIH-Sponsored Repository list will be valuable to principal investigators (PIs)<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/11/ncura-workshop-nih-data-repositories/#the-nih-sponsored-repository-list-will-be-valuable-to-principal-investigators-pis" class="hash-link" aria-label="Direct link to The NIH-Sponsored Repository list will be valuable to principal investigators (PIs)" title="Direct link to The NIH-Sponsored Repository list will be valuable to principal investigators (PIs)" translate="no">​</a></h3>
<ol>
<li class="">Those who are looking for secondary data to use for their research.</li>
<li class="">Those who need to identify a repository to submit data to, potentially as a part of their Data Management and Sharing (DMS) plan.</li>
</ol>
<p><strong>Additional Notes</strong></p>
<ul>
<li class="">The preprint SSRN paper (QR code on reverse) provides an overview of the NIH-sponsored repositories available and can serve as a good starting point in the search for a repository to submit to or to access data for secondary research.</li>
<li class="">When submitting data to a repository as part of NIH requirements, identify a repository and contact them early in the grant lifecycle, as you may need to vet multiple repositories and ensure schema alignment with the final chosen repository, and more.</li>
</ul>
<p><strong>NIH-Supported Scientific Repositories</strong>:</p>
<p><a href="https://www.grants.nih.gov/new-to-nih/information-for/researchers/resources-for-research" target="_blank" rel="noopener noreferrer" class="">https://www.grants.nih.gov/new-to-nih/information-for/researchers/resources-for-research</a></p>]]></content:encoded>
            <category>Blog posts</category>
        </item>
        <item>
            <title><![CDATA[How to Get a Library Card from Your Signing Official]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/06/how-to-get-a-library-card-from-your-signing-official/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/06/how-to-get-a-library-card-from-your-signing-official/</guid>
            <pubDate>Wed, 06 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[To submit a Data Access Request (DAR) in DUOS, you must first have a Library Card. This card is a form of pre-authorization issued by a Signing Official (SO) at your institution. It confirms that you…]]></description>
            <content:encoded><![CDATA[<p>To submit a Data Access Request (DAR) in DUOS, you must first have a <strong>Library Card</strong>. This card is a form of pre-authorization issued by a <strong>Signing Official (SO)</strong> at your institution. It confirms that you are a researcher in good standing who may access controlled datasets.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="steps-to-get-a-library-card">Steps to Get a Library Card:<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/06/how-to-get-a-library-card-from-your-signing-official/#steps-to-get-a-library-card" class="hash-link" aria-label="Direct link to Steps to Get a Library Card:" title="Direct link to Steps to Get a Library Card:" translate="no">​</a></h3>
<ol>
<li class=""><strong>Find out who your Signing Official is.</strong> If you don’t know, its usually best to ask your compliance office, office of sponsored research, or legal department.<br>
If your institution has already designated one in DUOS, they can issue you a card directly.</li>
<li class=""><strong>Ask your Signing Official to log into DUOS.</strong><br>
They can log in at <a href="https://duos.org/so-console" target="_blank" rel="noopener noreferrer" class="">https://duos.org/so-console</a> and issue you a Library Card from their dashboard.</li>
<li class=""><strong>Wait for confirmation.</strong><br>
Once the Library Card is issued, you’ll receive a confirmation email. At that point, you’ll be able to initiate and submit DARs and Progress Reports in DUOS.</li>
</ol>
<p>If your institution does not yet have a Signing Official in DUOS, please reach out to your research administration team or contact the DUOS support team for help getting one onboarded.</p>]]></content:encoded>
            <category>User guides</category>
        </item>
        <item>
            <title><![CDATA[“Where Is All the NIH Data? A Landscape Analysis of the 150 NIH Repositories and the Path Beyond the Mountains.”]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/06/preprint-where-is-all-the-nih-data-a-landscape-analysis-of-the-150-nih-repositories-and-the-path-beyond-the-mountains/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/06/preprint-where-is-all-the-nih-data-a-landscape-analysis-of-the-150-nih-repositories-and-the-path-beyond-the-mountains/</guid>
            <pubDate>Wed, 06 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[We’re excited to announce a new SSRN publication co-authored by Bronwyn Walsh, Jonathan Lawson, Sofia Labrecque, and Vasiliki Rahimzadeh, “Where Is All the NIH Data? A Landscape Analysis of the 150…]]></description>
            <content:encoded><![CDATA[<p>We’re excited to announce a new <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5374625" target="_blank" rel="noopener noreferrer" class="">SSRN publication</a> co-authored by <strong>Bronwyn Walsh</strong>, <strong>Jonathan Lawson, Sofia Labrecque, and Vasiliki Rahimzadeh</strong>, <em>“Where Is All the NIH Data? A Landscape Analysis of the 150 NIH Repositories and the Path Beyond the Mountains.”</em></p>
<p>This comprehensive study maps out the current NIH-supported data repository ecosystem—spanning roughly 150 domain‑specific and generalist repositories—and evaluates gaps and usability. It provides critical insights into how NIH data is organized, discoverable, and maintained across different platforms, while identifying challenges around access, metadata standardization, and sustainability.</p>
<p>The paper concludes with a forward-looking “path beyond the mountains,” recommending strategic improvements such as enhancing metadata harmonization, strengthening repository integration, and leveraging FAIR and GA4GH standardsto bolster discoverability and ease of datasharing and use across NIH-funded datasets .</p>]]></content:encoded>
            <category>Blog posts</category>
        </item>
        <item>
            <title><![CDATA[DUOS Progress Reports User Guide]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/</guid>
            <pubDate>Tue, 05 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[The table below provides a quick overview of how Progress Reports support each distinct role within the DUOS ecosystem, highlighting their primary functions in managing data access lifecycles.]]></description>
            <content:encoded><![CDATA[<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="progress-reports-at-a-glance-key-functions-for-each-duos-role">Progress Reports at a Glance: Key Functions for Each DUOS Role<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/#progress-reports-at-a-glance-key-functions-for-each-duos-role" class="hash-link" aria-label="Direct link to Progress Reports at a Glance: Key Functions for Each DUOS Role" title="Direct link to Progress Reports at a Glance: Key Functions for Each DUOS Role" translate="no">​</a></h3>
<p>The table below provides a quick overview of how Progress Reports support each distinct role within the DUOS ecosystem, highlighting their primary functions in managing data access lifecycles.</p>

























<table><thead><tr><th><strong>DUOS Role</strong></th><th><strong>Key Function of Progress Reports</strong></th></tr></thead><tbody><tr><td><strong>Researchers:</strong></td><td>Submit updates for DAR renewal, DMI, or project closeout.</td></tr><tr><td><strong>DACs:</strong></td><td>Review progress reports for renewals and approve closeouts.</td></tr><tr><td><strong>Signing Officials:</strong></td><td>Approve researcher closeout requests and oversee institutional compliance.</td></tr><tr><td><strong>Data Custodians:</strong></td><td>Receive notifications around their datasets’ access to understand who is using their data</td></tr></tbody></table>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="for-researchers-managing-your-data-access-and-project-status">For Researchers: Managing Your Data Access and Project Status<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/#for-researchers-managing-your-data-access-and-project-status" class="hash-link" aria-label="Direct link to For Researchers: Managing Your Data Access and Project Status" title="Direct link to For Researchers: Managing Your Data Access and Project Status" translate="no">​</a></h3>
<p><strong>When to Submit a Progress Report:</strong></p>
<p>Once 11 months have elapsed from the initial approval of your Data Access Request (DAR), you, as the primary investigator (PI), will receive a notification prompting you to submit a Progress Report. This report is crucial for updating the Data Access Committee (DAC) on your research progress and for managing the continuity or conclusion of your data access.&nbsp;&nbsp;</p>
<p><strong>How to Submit a Progress Report:</strong></p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-1-8e7d6500cacd5880d91b4e5249dfe803.png" width="1600" height="507" class="img_ev3q"></p>
<p>Under Actions, click Update</p>
<p>This will bring you to the progress report form – fill out all red required fields and any relevant optional fields.<img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-2-9b25a67fd0b143d63a9eaa64c43a9519.png" width="1600" height="795" class="img_ev3q"></p>
<p>Then hit submit at the bottom of the page after Step 5 to send your progress report to all relevant DAC(s).</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-3-7c3af8b8509b5683e419075ec45b2a35.png" width="1004" height="602" class="img_ev3q"></p>
<p><strong>Required Content for Progress Reports (for Renewal):</strong></p>
<p>When submitting a Progress Report for the purpose of renewing your data access, you are required to provide the following information:</p>
<ul>
<li class=""><strong>Summary of Research Progress:</strong> Detail the advancements made in your research since the initial DAR was approved.&nbsp;&nbsp;</li>
<li class=""><strong>Intellectual Property (IP) Disclosure:</strong> Disclose any new intellectual property that has resulted from your research using the accessed data.&nbsp;&nbsp;</li>
<li class=""><strong>Publications:</strong> List any publications (e.g., journal articles, preprints) that have been published or submitted since the initial DAR, utilizing the accessed data.&nbsp;&nbsp;</li>
<li class=""><strong>Presentations:</strong> Detail any presentations (e.g., conference talks, posters) given since the initial DAR that feature findings from your research using the accessed data.&nbsp;&nbsp;</li>
</ul>
<p><strong>Optional Uses for Progress Reports:</strong></p>
<p>Beyond the required renewal updates, Progress Reports offer flexibility for additional communication and project management:</p>
<ul>
<li class=""><strong>Update Internal Lab Staff:</strong> Share your research progress with your internal lab team.</li>
<li class=""><strong>Update Internal or External Collaborators:</strong> Keep your collaborators informed about the project’s status.</li>
<li class=""><strong>Report a Data Management Incident:</strong> If a data management incident occurs, you can use the Progress Report to formally document and report it.</li>
<li class=""><strong>Close Out the Project:</strong> If your research project is complete or no longer requires access to the data, you can initiate a project closeout through the Progress Report.</li>
</ul>
<p><strong>Project Closeout Process for Researchers:</strong></p>
<p>If you choose to close out your project via a Progress Report, the approval flow differs from a renewal:</p>
<ol>
<li class=""><strong>Submission to Signing Official (SO):</strong> Instead of the DAC voting on approval, you will submit the closeout request directly to your institutional Signing Official (SO) for their review and approval.</li>
<li class=""><strong>SO Approval:</strong> Your SO will review the closeout request and, if approved, it will be sent to the DAC Chair(s).</li>
<li class=""><strong>DAC Chair Approval:</strong> After your SO’s approval, the DAC Chair must provide the final approval for the project closeout.</li>
</ol>
<p>By utilizing Progress Reports, you gain clear visibility into your data access status, streamline compliance, and efficiently manage your research project’s lifecycle within DUOS.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="for-signing-officials-sos-strategic-oversight-and-closeout-approvals">For Signing Officials (SOs): Strategic Oversight and Closeout Approvals<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/#for-signing-officials-sos-strategic-oversight-and-closeout-approvals" class="hash-link" aria-label="Direct link to For Signing Officials (SOs): Strategic Oversight and Closeout Approvals" title="Direct link to For Signing Officials (SOs): Strategic Oversight and Closeout Approvals" translate="no">​</a></h3>
<p><strong>Approving Project Closeouts:</strong></p>
<p>When a researcher initiates a project closeout through a Progress Report, your role as an SO is critical for institutional approval:</p>
<p><strong>Review and Approval:</strong> The researcher will submit the closeout request directly to you, their institutional Signing Official, for initial review and approval by indicating you are their signing official on the closeout form. You will receive an email with a link to the progress report containing a closeout for you to review and approve. The associated action is “Review Closeout”:</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-4-136fd89d2b479f49e8fdb141044dcb72.png" width="1600" height="121" class="img_ev3q"></p>
<p>Clicking Review Closeout brings you to a read only version of the Progress Report(s) and original DAR, underneath the most recent progress report will be an option to approve the closeout.&nbsp;</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-5-5d779d1d33cc7bde42fdc7fb69501ebf.png" width="1600" height="517" class="img_ev3q"></p>
<p>Clicking Approve closeout moves the progress report to the DAC Chair(s) for final approval.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="for-data-access-committees-dacs-reviewing-progress-and-approving-closeouts">For Data Access Committees (DACs): Reviewing Progress and Approving Closeouts<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/05/duos-progress-reports-user-guide/#for-data-access-committees-dacs-reviewing-progress-and-approving-closeouts" class="hash-link" aria-label="Direct link to For Data Access Committees (DACs): Reviewing Progress and Approving Closeouts" title="Direct link to For Data Access Committees (DACs): Reviewing Progress and Approving Closeouts" translate="no">​</a></h3>
<p><strong>Reviewing Progress Reports for Renewal:</strong></p>
<p>When a researcher submits a Progress Report for the purpose of renewing their data access, your role as a DAC remains focused on reviewing the submitted information to ensure continued compliance with data use limitations and consent forms. Progress Reports will provide you with updated information from the researcher to understand their progress on their research project, supporting record-keeping and consistency in the review process while preserving the link to the original Data Access Request.&nbsp;&nbsp;</p>
<p>You will receive an email that a Progress Report has been submitted for review if you’re a chair, or open for voting if you are a DAC member (after your Chair has opened the Progress Report). Voting proceeds as it would for any other DAR.</p>
<p><strong>Approving Project Closeouts:</strong></p>
<p>The process for approving a project closeout initiated via a Progress Report differs from a standard DAR review:</p>
<p>&nbsp;You will receive an email with a link to the progress report containing a closeout for you to review and approve after it has been approved by the Researcher’s SO. The associated action is “Review Closeout”:</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-4-136fd89d2b479f49e8fdb141044dcb72.png" width="1600" height="121" class="img_ev3q"></p>
<p>Clicking Review Closeout brings you to a read only version of the Progress Report(s) and original DAR, underneath the most recent progress report will be an option to approve the closeout.&nbsp;</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/duos-progress-reports-user-guide-5-5d779d1d33cc7bde42fdc7fb69501ebf.png" width="1600" height="517" class="img_ev3q"></p>
<p>Clicking Approve closeout moves the progress report and DAR collection to a closed state, completing the closeout process.</p>]]></content:encoded>
            <category>User guides</category>
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        <item>
            <title><![CDATA[GA4GH Data Passports: Proposing a New Technical Specification for Data Policy Representation]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/05/ga4gh-data-passports-proposing-a-new-technical-specification-for-data-policy-representation/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/05/ga4gh-data-passports-proposing-a-new-technical-specification-for-data-policy-representation/</guid>
            <pubDate>Tue, 05 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[We’re excited to share a new paper by Jonathan Lawson and Tom Conner, “GA4GH Data Passports: Proposing a New Technical Specification for Data Policy Representation,” now available on SSRN. This work…]]></description>
            <content:encoded><![CDATA[<p>We’re excited to share a new paper by Jonathan Lawson and Tom Conner, <em>“GA4GH Data Passports: Proposing a New Technical Specification for Data Policy Representation,”</em> now available on <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5372874" target="_blank" rel="noopener noreferrer" class="">SSRN</a>. This work introduces a proposed technical specification for <strong>Data Passports</strong>, a framework designed to streamline data use while upholding ethical provenance. By encoding these metadata as standardized, machine-readable “visas,” Data Passports enable faster, more secure, and interoperable access to research datasets.</p>
<p>Designed as a companion to the existing GA4GH Passports standard, this proposal outlines how institutions and data access committees can issue trusted assertions about a dataset. This approach reduces administrative burden and supports scalable, federated data governance. The paper also highlights future directions, including trust frameworks and expanded visa types, to further advance responsible and efficient data sharing.</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Announcing ‘Progress Reports’ in DUOS! Renew Access & Share Your Research Faster]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/</guid>
            <pubDate>Mon, 04 Aug 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[DUOS streamlines the process of sharing and requesting data, and is now expanding institutions’ and researchers’ ability to renew their access to datasets, and share their research with the scientific…]]></description>
            <content:encoded><![CDATA[<p><em>DUOS streamlines the process of sharing and requesting data, and is now expanding institutions’ and researchers’ ability to renew their access to datasets, and share their research with the scientific community!</em>&nbsp;&nbsp;</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="why-progress-reports">Why ‘Progress Reports’?<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/#why-progress-reports" class="hash-link" aria-label="Direct link to Why ‘Progress Reports’?" title="Direct link to Why ‘Progress Reports’?" translate="no">​</a></h2>
<p>When using controlled-access data, access is typically granted for one year by a data access committee (DAC). To help researchers extend their data access as needed, assist DACs in overseeing and enabling data use, and share details on the important research progress by DUOS users, DUOS introduces <strong>Progress Reports</strong>.&nbsp;&nbsp;</p>
<p>Before Progress Reports, researchers in DUOS needed to make a new Data Access Request to extend data access, which put redundant administrative work on researchers and left DACs with less than desirable data linkage and research output information. Now with Progress Reports in DUOS, access renewals, research updates, publications, presentations, collaborator changes, data management incidents and closeouts linked to the original DAR in a single auditable and shareable provenance chain – lightening the work on researchers and DACs to share data and research results faster!&nbsp;</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="how-do-progress-reports-benefit-different-users-in-duos">How do Progress Reports benefit different users in DUOS?<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/#how-do-progress-reports-benefit-different-users-in-duos" class="hash-link" aria-label="Direct link to How do Progress Reports benefit different users in DUOS?" title="Direct link to How do Progress Reports benefit different users in DUOS?" translate="no">​</a></h2>





















<table><thead><tr><th><strong>In DUOS…</strong></th><th></th></tr></thead><tbody><tr><td><strong>Researchers</strong></td><td><em>Submit</em> DARs, Progress Reports, DMIs, and DAR Closeouts</td></tr><tr><td><strong>DACs</strong></td><td><em>Review</em> DARs, Progress Reports, DMIs, and DAR Closeouts</td></tr><tr><td><strong>Signing Officials</strong></td><td><em>Audit</em> DARs, Progress Reports, DMIs, and <em>approve</em> DAR Closeouts</td></tr></tbody></table>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="when-should-researchers-submit-a-progress-report">When Should Researchers Submit a Progress Report?<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/#when-should-researchers-submit-a-progress-report" class="hash-link" aria-label="Direct link to When Should Researchers Submit a Progress Report?" title="Direct link to When Should Researchers Submit a Progress Report?" translate="no">​</a></h2>
<p>In DUOS, your access to data via a DAR will expire 12 months after initial approval. DUOS will send the PI on the DAR a reminder to complete a Progress Report, to either renew access or closeout the DAR, 30 days prior to the DAR’s expiration. If you do not submit and receive approval for your Progress Report before the expiration, your access will suspended until a Progress Report is approved, or you submit a new DAR for the data.&nbsp;</p>
<p>Additionally, researchers can submit Progress Reports at-will to update DACs of exciting developments in their research, including sharing information about presentations, publications, or intellectual property developed in the course of their research. This information will be shared publicly and promoted by DUOS to help draw attention to your research!</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="we-hope-you-enjoy-this-new-feature-and-we-look-forward-to-sharing-your-research-with-the-world">We hope you enjoy this new feature and we look forward to sharing your research with the world!<a href="https://kevinmarete.github.io/duos-blog-trial/2025/08/04/announcing-progress-reports-in-duos-renew-access-and-share-your-research-faster/#we-hope-you-enjoy-this-new-feature-and-we-look-forward-to-sharing-your-research-with-the-world" class="hash-link" aria-label="Direct link to We hope you enjoy this new feature and we look forward to sharing your research with the world!" title="Direct link to We hope you enjoy this new feature and we look forward to sharing your research with the world!" translate="no">​</a></h2>]]></content:encoded>
            <category>Feature announcements</category>
        </item>
        <item>
            <title><![CDATA[Filter data by Data Use & Access terms, DACs, and Data Types]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/04/22/search-for-data-by-data-use-access-terms-dacs-and-data-types/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/04/22/search-for-data-by-data-use-access-terms-dacs-and-data-types/</guid>
            <pubDate>Tue, 22 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[We’ve added powerful new search filters that help you quickly narrow down datasets by the criteria that matter most. You can now filter data by:]]></description>
            <content:encoded><![CDATA[<p>Finding the right dataset just got easier in DUOS!</p>
<p>We’ve added&nbsp;<strong>powerful new search filters</strong>&nbsp;that help you quickly narrow down datasets by the criteria that matter most. You can now filter data by:</p>
<ul>
<li class=""><strong>Data Use &amp; Access terms</strong>&nbsp;– Find datasets that align with specific research purposes or consent requirements</li>
<li class=""><strong>Data Access Committees (DACs)</strong>&nbsp;– View datasets stewarded by specific DACs for easier coordination and transparency</li>
<li class=""><strong>Data Types</strong>&nbsp;– Focus your search on genomics, phenotypic, clinical, or other data types relevant to your research</li>
</ul>
<p>These filters make it faster to discover the right data, streamline your access workflows, and ensure you’re working with datasets that meet your project needs.</p>
<p>Try the new filters today—log in to DUOS and start exploring with precision!</p>]]></content:encoded>
            <category>Feature announcements</category>
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        <item>
            <title><![CDATA[Solving the Catch-22 in searching for controlled access data]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/04/07/new-article-fast-compliant-searches-of-controlled-access-data/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/04/07/new-article-fast-compliant-searches-of-controlled-access-data/</guid>
            <pubDate>Mon, 07 Apr 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[In his latest paper, Jonathan Lawson of the Broad Institute introduces View-Only Data Access Requests (VODAR), a novel approach designed to enhance the discoverability of controlled-access datasets.…]]></description>
            <content:encoded><![CDATA[<p>​In his latest paper, Jonathan Lawson of the Broad Institute introduces View-Only Data Access Requests (VODAR), a novel approach designed to enhance the discoverability of controlled-access datasets. VODAR enables researchers to explore sensitive data in depth without compromising compliance or participant consent, addressing a significant barrier in genomic and biomedical research. This framework aims to streamline data access while upholding ethical standards, potentially accelerating scientific discovery. Read the full article here: <a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5170433" target="_blank" rel="noopener noreferrer" class="">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5170433</a></p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Are you compliant with NIH’s updated Genomic Data Sharing policy?]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2025/01/25/hello-world/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2025/01/25/hello-world/</guid>
            <pubDate>Sat, 25 Jan 2025 00:00:00 GMT</pubDate>
            <description><![CDATA[On July 25, 2024, the National Institutes of Health (NIH) issued updated guidance to the Genomic Data Sharing Policy stating that researchers approved for controlled-access NIH data, via mechanisms…]]></description>
            <content:encoded><![CDATA[<p>On July 25, 2024, the&nbsp;<a href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-24-157.html" target="_blank" rel="noopener noreferrer" class="">National Institutes of Health (NIH) issued updated guidance to the Genomic Data Sharing Policy</a>&nbsp;stating that researchers approved for controlled-access NIH data, via mechanisms like&nbsp;<a href="https://www.ncbi.nlm.nih.gov/gap/" target="_blank" rel="noopener noreferrer" class="">dbGaP</a>&nbsp;or&nbsp;<a href="https://duos.org/" target="_blank" rel="noopener noreferrer" class="">DUOS</a>, must store and analyze this data on systems that are&nbsp;NIST SP 800-171 compliant (or the equivalent ISO/IEC 27001/27002) starting January 25, 2025.</p>
<p>If you are using Terra or NIH Platforms like&nbsp;<a href="https://terra.bio/anvil-platform-helps-meet-the-new-nih-data-management-and-sharing-policy-requirements/" target="_blank" rel="noopener noreferrer" class="">AnVIL</a>&nbsp;that are powered by Terra, you are already compliant.</p>
<p>The update requires researchers and institutions using NIH controlled-access data to attest that&nbsp; systems interacting with this data are compliant with NIST SP 800-171. Many university and institutes’ IT departments are urgently determining remediation pathways for their internal clusters and systems, including what new policies and training will need to be rolled out to their staff to be compliant by January. While many institutions are rapidly working to identify, invest, and implement critical security upgrades to meet NIST SP 800-171 compliance, it is vital that IT and compliance departments can inform researchers about which systems meet these security criteria.</p>
<p>Luckily, there is a solution:&nbsp;<a href="https://app.terra.bio/" target="_blank" rel="noopener noreferrer" class="">Terra</a>&nbsp;and NIH platforms like&nbsp;<a href="https://terra.bio/anvil-platform-helps-meet-the-new-nih-data-management-and-sharing-policy-requirements/" target="_blank" rel="noopener noreferrer" class="">AnVIL</a>&nbsp;that are powered by Terra already meet NIST SP 800-171 as well as the more rigorous NIST SP 800-53 (FedRAMP Moderate). IT and compliance departments can direct users to Terra and AnVIL, and simply acknowledge use of these systems in the attestation process. It’s as easy as that!</p>
<p>If you have any questions or would like to discuss your specific situation, please contact&nbsp;<a href="mailto:support@terra.bio" target="_blank" rel="noopener noreferrer" class="">support@terra.bio</a>. We would be glad to assist you.</p>]]></content:encoded>
            <category>Policy briefs</category>
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        <item>
            <title><![CDATA[FAIR Principles in Biobanking]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/12/18/fair-principles-in-biobanking/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/12/18/fair-principles-in-biobanking/</guid>
            <pubDate>Wed, 18 Dec 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The “Experts Speak Forum: Implementation of the FAIR Principles in Biobanking Needs Fair Incentives” (DOI: 10.1089/bio.2024.0153) presents a collection of expert perspectives on the challenges and…]]></description>
            <content:encoded><![CDATA[<p>​The “Experts Speak Forum: Implementation of the FAIR Principles in Biobanking Needs Fair Incentives” (DOI: <a href="https://doi.org/10.1089/bio.2024.0153" target="_blank" rel="noopener noreferrer" class="">10.1089/bio.2024.0153</a>) presents a collection of expert perspectives on the challenges and opportunities associated with applying the FAIR (Findable, Accessible, Interoperable, and Reusable) principles to biobanking. While originally developed for data management, the FAIR principles are increasingly relevant to biological samples. The contributors, including Jonathan Lawson, discuss the necessity of providing meaningful incentives to encourage the adoption of FAIR practices in biobanking, emphasizing that while the implementation presents challenges, it also offers significant opportunities for enhancing research quality and collaboration.​</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Genomic Data Governance in the Cloud]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/10/18/genomic-data-governance-in-the-cloud/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/10/18/genomic-data-governance-in-the-cloud/</guid>
            <pubDate>Fri, 18 Oct 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[“Ethical Governance for Genomic Data Science in the Cloud” (DOI: 10.1038/s41576-024-00789-9) addresses the ethical considerations and governance challenges associated with managing human genomic data…]]></description>
            <content:encoded><![CDATA[<p>“Ethical Governance for Genomic Data Science in the Cloud” (DOI: <a href="https://doi.org/10.1038/s41576-024-00789-9" target="_blank" rel="noopener noreferrer" class="">10.1038/s41576-024-00789-9</a>) addresses the ethical considerations and governance challenges associated with managing human genomic data on cloud platforms. While cloud computing offers significant advantages for genomic research, such as scalability and accessibility, it also raises concerns about data privacy, security, and equitable access. The authors, including Jonathan Lawson, advocate for adapting data governance frameworks to ensure transparency, protect research participants, and promote sustainable and equitable data sharing practices in the cloud-based genomic research landscape.​</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Create Your Own Branded & Curated Data Library in DUOS!]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/08/30/create-your-own-branded-curated-data-library-in-duos/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/08/30/create-your-own-branded-curated-data-library-in-duos/</guid>
            <pubDate>Fri, 30 Aug 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[We’re excited to announce a powerful new feature in DUOS: the ability to create your own branded and curated Data Library! Now, organizations and research groups can showcase their datasets with a…]]></description>
            <content:encoded><![CDATA[<p>We’re excited to announce a powerful new feature in DUOS: the ability to create your own branded and curated Data Library! Now, organizations and research groups can showcase their datasets with a customized look and feel—tailored to reflect their unique identity and mission.</p>
<p>With this feature, you can:</p>
<ul>
<li class="">Design a branded landing page for your data collections</li>
<li class="">Curate datasets to highlight key themes or research areas</li>
<li class="">Guide users directly to data that matters most to your community</li>
</ul>
<p>Whether you’re amplifying your research impact or simplifying access to your data resources, this new capability makes it easier than ever to connect researchers with the data they need.</p>
<p>Check out some examples on the <a href="https://duos.org/" target="_blank" rel="noopener noreferrer" class="">DUOS homepage</a>, and if you’re interested in creating a branded Data Library in DUOS to showcase your research and share your data contact us via the homepage to let us know!</p>]]></content:encoded>
            <category>Feature announcements</category>
        </item>
        <item>
            <title><![CDATA[DUOS Introduces Automatic Access Permission Updates with TDR]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/</guid>
            <pubDate>Sat, 01 Jun 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[Data access for researchers is critical to modern scientific endeavors. But new data access requests are hampered by an often cumbersome and manual process. Now, DUOS (Data Use Oversight System)…]]></description>
            <content:encoded><![CDATA[<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="introduction">Introduction<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#introduction" class="hash-link" aria-label="Direct link to Introduction" title="Direct link to Introduction" translate="no">​</a></h3>
<p>Data access for researchers is critical to modern scientific endeavors. But new data access requests are hampered by an often cumbersome and manual process. Now, DUOS (Data Use Oversight System) automatically updates users’ access permissions, simplifying and expediting the process for researchers, ensuring they can swiftly and securely access the data they need. In this blog post, we explore the benefits and implications of the new automatic access permission update feature in DUOS, and link to resources to leverage DUOS to streamline data access.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="the-current-data-access-landscape">The Current Data Access Landscape<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#the-current-data-access-landscape" class="hash-link" aria-label="Direct link to The Current Data Access Landscape" title="Direct link to The Current Data Access Landscape" translate="no">​</a></h3>
<p>Data access committees (DACs) and Data Custodians play a crucial role in managing the flow of valuable research data, ensuring the data is used ethically and responsibly. Traditionally, researchers had to manually request updates to their access permissions from the DAC when they were granted secondary access to new datasets. DACs, the centerpiece of the approval process, were overwhelmed by exponentially increasing amounts of data and data requests. The cumbersome process often led to delays and hindered the timely advancement of research initiatives.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="duos-automatic-access-permission-updates">DUOS’ Automatic Access Permission Updates<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#duos-automatic-access-permission-updates" class="hash-link" aria-label="Direct link to DUOS’ Automatic Access Permission Updates" title="Direct link to DUOS’ Automatic Access Permission Updates" translate="no">​</a></h3>
<p>DUOS has emerged as a leading software platform for facilitating data access and management. Now, DUOS automatically updates researchers’ access permissions when they are approved for secondary access to requested research data. This eliminates the need for manual intervention, allowing researchers to seamlessly access the approved data without any delays. By streamlining the data access process, DUOS empowers researchers to focus on their work rather than navigating administrative barriers.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="how-automatic-access-updates-benefit-researchers">How Automatic Access Updates Benefit Researchers<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#how-automatic-access-updates-benefit-researchers" class="hash-link" aria-label="Direct link to How Automatic Access Updates Benefit Researchers" title="Direct link to How Automatic Access Updates Benefit Researchers" translate="no">​</a></h3>
<ul>
<li class="">Expedited research process, as scientists can access new data promptly upon approval.&nbsp;</li>
<li class="">Automation reduces the administrative burden on researchers, freeing up more time for analysis and experimentation</li>
<li class="">Increased efficiency ensures that researchers can focus on their science</li>
</ul>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="strengthening-data-security-and-privacy">Strengthening Data Security and Privacy<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#strengthening-data-security-and-privacy" class="hash-link" aria-label="Direct link to Strengthening Data Security and Privacy" title="Direct link to Strengthening Data Security and Privacy" translate="no">​</a></h3>
<p>DACs and Data Custodians know manual access permission updates carry an inherent risk of human error or data breaches. DUOS’ automated permission updates ensure that access permissions are updated accurately, promptly, and in compliance with privacy regulations, reducing the chances of data mishandling, and safeguarding sensitive information.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="conclusion">Conclusion<a href="https://kevinmarete.github.io/duos-blog-trial/2024/06/01/streamlining-data-access-duos-introduces-automatic-access-permission-updates/#conclusion" class="hash-link" aria-label="Direct link to Conclusion" title="Direct link to Conclusion" translate="no">​</a></h3>
<p>DUOS’ automatic access permission update marks a significant milestone in the realm of data access and management. By simplifying the process and enhancing security, researchers can focus on their core scientific pursuits and data custodians can ensure efficient, broad and secure access to their datasets. As DUOS continues to innovate and streamline data access, it promises to revolutionize the landscape of research, empowering scientists worldwide in their quest for knowledge and breakthrough discoveries.</p>
<p>DACs and Data Custodians can learn more about how to leverage this new feature&nbsp;<a href="https://support.terra.bio/hc/en-us/articles/17557681662747" target="_blank" rel="noopener noreferrer" class="">here</a>.</p>]]></content:encoded>
            <category>Feature announcements</category>
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        <item>
            <title><![CDATA[DACs Speak! Global interviews on controlled access processes]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/05/05/dacs-speak-global-interviews-on-controlled-access-processes/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/05/05/dacs-speak-global-interviews-on-controlled-access-processes/</guid>
            <pubDate>Sun, 05 May 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “A qualitative interview study to determine barriers and facilitators of implementing automated decision support tools for genomic data access” (DOI: 10.1186/s12910-024-01050-y)…]]></description>
            <content:encoded><![CDATA[<p>The article titled “A qualitative interview study to determine barriers and facilitators of implementing automated decision support tools for genomic data access” (DOI: 10.1186/s12910-024-01050-y) explores the perceptions of Data Access Committee (DAC) members regarding the adoption of Automated Decision Support (ADS) systems in genomic data governance. Through semi-structured interviews with 13 DAC members worldwide, the study identifies both support for and concerns about ADS implementation. While participants acknowledged the potential of ADS to enhance efficiency in tasks like data cataloging and user credential verification, they also expressed apprehensions about over-automation, diminished human oversight, and potential misalignment with institutional missions. The findings underscore the necessity for policies that balance technological advancements with ethical considerations, ensuring that ADS tools augment rather than replace human judgment in data access decisions. This study contributes to the discourse on integrating technology into data governance frameworks, emphasizing the importance of aligning such tools with institutional values and ethical standards.​</p>]]></content:encoded>
            <category>In the news</category>
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        <item>
            <title><![CDATA[How do DACs work? A survey on current and prospective processes]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/04/15/how-do-dacs-work-a-survey-on-current-and-prospective-processes/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/04/15/how-do-dacs-work-a-survey-on-current-and-prospective-processes/</guid>
            <pubDate>Mon, 15 Apr 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Achieving Procedural Parity in Managing Access to Genomic and Related Health Data” (DOI: 10.1089/bio.2022.0205) addresses the disparities in data access procedures between…]]></description>
            <content:encoded><![CDATA[<p>The article titled “Achieving Procedural Parity in Managing Access to Genomic and Related Health Data” (DOI: 10.1089/bio.2022.0205) addresses the disparities in data access procedures between traditional biobanks and emerging cloud-based genomic data platforms. The authors, including Jonathan Lawson, argue that while technological advancements have streamlined data sharing, policy frameworks have not kept pace, leading to inconsistencies in data access governance. They advocate for harmonized policies that align with technological capabilities to ensure equitable, efficient, and secure access to genomic and health-related data. The article emphasizes the need for policy evolution to fully leverage technologies that facilitate data sharing and drive scientific discovery.​</p>]]></content:encoded>
            <category>In the news</category>
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        <item>
            <title><![CDATA[Who is a Signing Official? How do they comply with NIH policies…and where are they?]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2024/03/20/who-is-a-signing-official-how-do-they-comply-with-nih-policies-and-where-are-they/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2024/03/20/who-is-a-signing-official-how-do-they-comply-with-nih-policies-and-where-are-they/</guid>
            <pubDate>Wed, 20 Mar 2024 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Investigating the Roles and Responsibilities of Institutional Signing Officials After Data Sharing Policy Reform for Federally Funded Research in the United States: National…]]></description>
            <content:encoded><![CDATA[<p>The article titled “Investigating the Roles and Responsibilities of Institutional Signing Officials After Data Sharing Policy Reform for Federally Funded Research in the United States: National Survey” (DOI: 10.2196/49822) examines the evolving role of institutional signing officials (SOs) in the context of new federal data sharing mandates, particularly those from the National Institutes of Health (NIH). Through a national survey of SOs across U.S. biomedical research institutions, the study reveals that while SOs are pivotal in ensuring compliance with data sharing policies, there is a lack of standardized institutional policies and clarity regarding their responsibilities. The findings underscore the necessity for updated and harmonized policies that align with technological advancements in data sharing, ensuring that SOs are adequately supported to facilitate ethical and efficient data governance.​</p>]]></content:encoded>
            <category>In the news</category>
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        <item>
            <title><![CDATA[Mapping all NIH dbGaP data to the GA4GH DUO standard]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2023/09/13/mapping-all-nih-dbgap-data-to-the-ga4gh-duo-standard/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2023/09/13/mapping-all-nih-dbgap-data-to-the-ga4gh-duo-standard/</guid>
            <pubDate>Wed, 13 Sep 2023 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Aligning NIH’s Existing Data Use Restrictions to the GA4GH Data Use Ontology” (DOI: 10.1016/j.xgen.2023.100308) examines the compatibility between the National Institutes of…]]></description>
            <content:encoded><![CDATA[<p>The article titled “Aligning NIH’s Existing Data Use Restrictions to the GA4GH Data Use Ontology” (DOI: 10.1016/j.xgen.2023.100308) examines the compatibility between the National Institutes of Health’s (NIH) existing data use limitations (DULs) and the Global Alliance for Genomics and Health (GA4GH) Data Use Ontology (DUO). The study found that 93% of NIH datasets’ DULs could be directly mapped to DUO terms, highlighting the potential for DUO to standardize data use restrictions across genomic datasets. By adopting DUO, data stewards can facilitate more efficient data discovery and access processes, ultimately accelerating biomedical research while ensuring compliance with participant consent.​</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Mech Suits for Policy Decision Making: Why code works well for upholding policy logic]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2022/10/17/mech-suits-for-policy-decision-making-why-code-works-well-for-upholding-policy-logic/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2022/10/17/mech-suits-for-policy-decision-making-why-code-works-well-for-upholding-policy-logic/</guid>
            <pubDate>Mon, 17 Oct 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management” (DOI: 10.1089/bio.2022.0042) explores the potential of Automated Decision Support…]]></description>
            <content:encoded><![CDATA[<p>The article titled “Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management” (DOI: 10.1089/bio.2022.0042) explores the potential of Automated Decision Support (ADS) systems to enhance the efficiency, consistency, and fairness of data access processes in genomic research. The authors, including Jonathan Lawson, discuss how ADS systems, exemplified by the Global Alliance for Genomics and Health’s Data Use Ontology (DUO) and the Broad Institute’s Data Use Oversight System (DUOS), can standardize data access decisions by translating consent-based data use restrictions into machine-readable terms. This approach aims to alleviate the burden on Data Access Committees (DACs), reduce inconsistencies in decision-making, and expedite researchers’ access to data. The article also addresses the ethical, legal, and social implications of implementing ADS systems, emphasizing the need for policies that balance technological advancements with the protection of participant rights and the promotion of public trust in data governance.​</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[Making sure FAIR is fair through machine-made decisions]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2022/06/23/making-sure-fair-is-fair-through-machine-made-decisions/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2022/06/23/making-sure-fair-is-fair-through-machine-made-decisions/</guid>
            <pubDate>Thu, 23 Jun 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Automating Justice: An Ethical Responsibility of Computational Bioethics” (DOI: 10.1080/15265161.2022.2075051) by Vasiliki Rahimzadeh, Jonathan Lawson, Jinyoung Baek, and Edward S.…]]></description>
            <content:encoded><![CDATA[<p>The article titled <em>“Automating Justice: An Ethical Responsibility of Computational Bioethics”</em> (DOI: <a href="https://doi.org/10.1080/15265161.2022.2075051" target="_blank" rel="noopener noreferrer" class="">10.1080/15265161.2022.2075051</a>) by Vasiliki Rahimzadeh, Jonathan Lawson, Jinyoung Baek, and Edward S. Dove, published in <em>The American Journal of Bioethics</em>, critically examines the ethical implications of integrating automated decision support systems into bioethical practices. The authors argue that while such technologies can enhance efficiency and consistency in decision-making, they also risk perpetuating existing biases and undermining justice if not carefully designed and implemented. They emphasize the necessity for computational bioethics to proactively address these challenges by ensuring that algorithms are transparent, accountable, and aligned with ethical principles. The article calls for a collaborative approach that combines technological innovation with rigorous ethical oversight to ensure that automation in bioethics serves to promote, rather than hinder, justice.​</p>]]></content:encoded>
            <category>In the news</category>
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        <item>
            <title><![CDATA[Introducing the AnVIL]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2022/01/12/introducing-the-anvil/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2022/01/12/introducing-the-anvil/</guid>
            <pubDate>Wed, 12 Jan 2022 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space” (DOI: 10.1016/j.xgen.2021.100016) introduces…]]></description>
            <content:encoded><![CDATA[<p>​The article titled <em>“Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space”</em> (DOI: <a href="https://doi.org/10.1016/j.xgen.2021.100016" target="_blank" rel="noopener noreferrer" class="">10.1016/j.xgen.2021.100016</a>) introduces the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL), a cloud-based platform designed to revolutionize genomic data sharing and analysis. Traditionally, genomic data sharing has involved downloading large datasets to local infrastructure, posing challenges in terms of data security, storage, and computational resources. AnVIL inverts this model by bringing researchers to the data within a secure, scalable cloud environment, thereby enhancing data accessibility and collaborative research efforts. The platform integrates various tools and resources, facilitating efficient data analysis while ensuring compliance with ethical and legal standards. The authors, including Jonathan Lawson, emphasize the need for policy advancements to fully leverage such technological innovations, advocating for frameworks that support secure, equitable, and efficient data sharing to drive scientific discovery.​</p>]]></content:encoded>
            <category>In the news</category>
        </item>
        <item>
            <title><![CDATA[DAC v. Algorithm…or DAC + Algorithm. A look forward in genomic data access.]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2021/11/10/dac-v-algorithm-or-dac-algorithm-a-look-forward-in-genomic-data-access/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2021/11/10/dac-v-algorithm-or-dac-algorithm-a-look-forward-in-genomic-data-access/</guid>
            <pubDate>Wed, 10 Nov 2021 00:00:00 GMT</pubDate>
            <description><![CDATA[The article titled “Empirical validation of an automated approach to data use oversight” (DOI: 10.1016/j.xgen.2021.100031) presents a study evaluating the effectiveness of the Data Use Oversight…]]></description>
            <content:encoded><![CDATA[<p>The article titled <em>“Empirical validation of an automated approach to data use oversight”</em> (DOI: 10.1016/j.xgen.2021.100031) presents a study evaluating the effectiveness of the Data Use Oversight System (DUOS), an open-source platform designed to automate data access decisions in genomic research. By leveraging the Global Alliance for Genomics and Health’s (GA4GH) Data Use Ontology (DUO), DUOS translates data use limitations and research proposals into a standardized, machine-readable format. The study demonstrated that DUOS could accurately replicate human Data Access Committee (DAC) decisions, successfully structuring 96% of evaluated data use limitations and 100% of research proposals using DUO terms, with complete concordance between automated and manual reviews. These findings suggest that integrating DUOS into data governance workflows can enhance efficiency and scalability, addressing the growing demand for genomic data access while maintaining ethical standards.​</p>]]></content:encoded>
            <category>In the news</category>
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        <item>
            <title><![CDATA[Expediting scientific discovery by streamlining data access with DUOS]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2021/06/24/expediting-scientific-discovery-by-streamlining-data-access-with-duos/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2021/06/24/expediting-scientific-discovery-by-streamlining-data-access-with-duos/</guid>
            <pubDate>Thu, 24 Jun 2021 00:00:00 GMT</pubDate>
            <description><![CDATA[Currently, the amount of available genomic data and the number of skilled researchers with the right tools to analyze it has significantly increased, leading requests for this data to increase…]]></description>
            <content:encoded><![CDATA[<p>Currently, the amount of available genomic data and the number of skilled researchers with the right tools to analyze it has significantly increased, leading requests for this data to increase exponentially. However, the world is losing out on valuable opportunities to transform this data into scientific insights that improve human health due to unnecessarily cumbersome data access processes.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="a-major-bottleneck-to-scientific-impact">A major bottleneck to scientific impact<a href="https://kevinmarete.github.io/duos-blog-trial/2021/06/24/expediting-scientific-discovery-by-streamlining-data-access-with-duos/#a-major-bottleneck-to-scientific-impact" class="hash-link" aria-label="Direct link to A major bottleneck to scientific impact" title="Direct link to A major bottleneck to scientific impact" translate="no">​</a></h3>
<p>Genomic data for human participants is highly identifiable and therefore often categorized as controlled-access data by virtue of the data sharing language in its consent forms. This means access to the data must be regulated by a data access committee (DAC) who assures the data will be shared and used in accordance with the data use terms in the consent forms.</p>
<p>Therefore, researchers must apply for access to such datasets through their designated DAC. In turn, the DAC must review the application to ensure that the researcher’s intended use of the data aligns with the permitted uses of the data, per the participants’ consent. Unfortunately, since the DACs receive language describing permitted data use and intended use from different parties (IRBs/participants vs. researchers) who use unique and sometimes ambiguous language, they are left with an apples:oranges comparison, which is difficult for them to decipher.</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/expediting-scientific-discovery-by-streamlining-data-access-with-duos-1-da16ef536b2bfcdbd8c3651e818c229f.png" width="1024" height="448" class="img_ev3q"></p>
<p><em>Current data access processes rely on unique, custom narrative text to describe data uses in consent forms and the datasets they represent, as well as in data access requests for those datasets. This makes adjudicating requests difficult if not impossible for DACs in certain cases.</em></p>
<p>The added weight of the liability involved in granting someone access to data under uncertain terms often leads DACs to undershare rather than overshare, meaning data is unnecessarily locked down, delaying or blocking significant scientific impact entirely.&nbsp;</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="facilitating-data-access-for-researchers-by-enhancing-dac-workflows">Facilitating data access for researchers, by enhancing DAC workflows<a href="https://kevinmarete.github.io/duos-blog-trial/2021/06/24/expediting-scientific-discovery-by-streamlining-data-access-with-duos/#facilitating-data-access-for-researchers-by-enhancing-dac-workflows" class="hash-link" aria-label="Direct link to Facilitating data access for researchers, by enhancing DAC workflows" title="Direct link to Facilitating data access for researchers, by enhancing DAC workflows" translate="no">​</a></h3>
<p>To address this issue and others like it, the Broad Institute developed&nbsp;<a href="https://duos.broadinstitute.org/home" target="_blank" rel="noopener noreferrer" class="">DUOS</a>&nbsp;(Data Use Oversight System), a suite of software services and policies for managing data access and sharing (<a href="https://terra.bio/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/" target="_blank" rel="noopener noreferrer" class="">more detail here</a>). Principally, DUOS aims to consistently and transparently answer the overarching question posed to DACs: “<em>Does the researcher’s intended use align with the permitted use of the dataset?”</em></p>
<p>In fact, DUOS aims to do this in a semi-automated fashion by leveraging the&nbsp;<a href="https://www.ga4gh.org/news/data-use-ontology-approved-as-a-ga4gh-technical-standard/" target="_blank" rel="noopener noreferrer" class="">GA4GH Data Use Ontology (DUO)</a>. The GA4GH DUO provides both human-readable and machine-readable terms and definitions for data use. DUOS utilizes the GA4GH DUO to tag datasets with their permitted use, and data access requests with their intended use in human-readable and machine-readable terms. This standardization allows for DACs and the DUOS matching algorithm to easily determine if a researcher’s intended use aligns with a dataset’s permitted uses in a more apples:apples format, and allows for DUOS to leverage a matching algorithm to suggest a decision to the DAC. The DUOS team is working to further increase the accuracy of the algorithm in making a decision that aligns with that of the DAC.&nbsp;</p>
<p><img decoding="async" loading="lazy" src="https://kevinmarete.github.io/duos-blog-trial/assets/images/expediting-scientific-discovery-by-streamlining-data-access-with-duos-2-e0aa49ed95698b2b64886ab0ba7d972f.png" width="1024" height="457" class="img_ev3q"></p>
<p><em>The GA4GH DUO allows for standardizing data use in consent forms and the datasets they represent, as well as in data access requests for those datasets. With data use language expressed in standardized and machine-readable terms, adjudicating requests is much easier for DACs and even possible to automate algorithmically.</em></p>
<p>While this automated matching can alleviate a serious bottleneck, other hurdles and data access and sharing remain. We aim to address those concerns in future articles and through our work on DUOS. In the meantime, please visit our website at&nbsp;<a href="https://duos.broadinstitute.org/" target="_blank" rel="noopener noreferrer" class="">www.duos.org</a>&nbsp;for more information and detailed documentation. Thanks for reading and we hope DUOS serves you well!</p>]]></content:encoded>
            <category>Feature announcements</category>
        </item>
        <item>
            <title><![CDATA[Broad Institute Expands Data Access Committee to Foster Collaborative Genomic Research]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2021/04/16/broad-institute-expands-data-access-committee-to-foster-collaborative-genomic-research/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2021/04/16/broad-institute-expands-data-access-committee-to-foster-collaborative-genomic-research/</guid>
            <pubDate>Fri, 16 Apr 2021 00:00:00 GMT</pubDate>
            <description><![CDATA[Cambridge, MA — Broad Institute, a pioneering institution at the forefront of genomic research and data governance, is proud to announce the expansion of its highly regarded Data Access Committee.…]]></description>
            <content:encoded><![CDATA[<p>Cambridge, MA — Broad Institute, a pioneering institution at the forefront of genomic research and data governance, is proud to announce the expansion of its highly regarded Data Access Committee. After five successful years of governing access to internally generated genomic datasets, Broad Institute is opening its doors to welcome researchers and institutions from around the world to leverage its expertise, experience, and established policies.</p>
<p>In response to recent policy initiatives emphasizing the importance of data sharing and the growing need for support from smaller institutions unable to establish their own committees, Broad Institute’s executive committee has made a forward-thinking decision to allow external submissions of genomic data to its Data Access Committee. This groundbreaking development will enable researchers, institutions, and organizations to benefit from our institution’s exceptional resources and knowledge.</p>
<p>By opening the doors to external data submissions, Broad Institute aims to foster a culture of collaboration and innovation in genomic research. This initiative represents a significant opportunity for institutions of all sizes to tap into our institution’s existing system, policies, and wealth of experience. The Data Access Committee will now play a crucial role in facilitating access to not only internally generated datasets but also curated external data.</p>
<p>“Our institution firmly believes in the power of collaboration and knowledge sharing to advance scientific discovery,” said Stacey Donnelly, the Chair of the Broad Institute’s Data Access Committee. “By expanding our Data Access Committee, we are extending an invitation to researchers and institutions worldwide to benefit from our comprehensive data governance framework. Together, we can drive breakthroughs in genomic research and accelerate progress in the field.”</p>
<p>Researchers and institutions interested in submitting their genomic data to Broad Institute’s Data Access Committee are encouraged to write to <a href="mailto:support@duos.org" target="_blank" rel="noopener noreferrer" class="">support@duos.org</a> for detailed guidelines and the submission process. The Committee will meticulously evaluate each submission, ensuring adherence to the highest ethical standards and data protection protocols.</p>
<p>With this bold step, Broad Institute reinforces its commitment to advancing scientific knowledge, fostering collaboration, and promoting equitable access to genomic data. By embracing this innovative approach, the institution aims to catalyze breakthrough discoveries that will benefit humanity as a whole.</p>]]></content:encoded>
            <category>Feature announcements</category>
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            <title><![CDATA[Ontology and automation: a powerful DUO for streamlining data access]]></title>
            <link>https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/</link>
            <guid>https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/</guid>
            <pubDate>Wed, 25 Sep 2019 00:00:00 GMT</pubDate>
            <description><![CDATA[Life as a biomedical researcher is a rollercoaster of emotions. One moment you’re marvelling at how technology has revolutionized the field — SO. MUCH. DATA. — and the next, you’re tearing your hair…]]></description>
            <content:encoded><![CDATA[<p>Life as a biomedical researcher is a rollercoaster of emotions. One moment you’re marvelling at how technology has revolutionized the field — SO. MUCH. DATA. — and the next, you’re tearing your hair out at how antiquated some of our processes still are — SO. MUCH. PAPERWORK.</p>
<p>Yes, there is a veritable cornucopia of data out there now, but most of the human data is subject to complex access restrictions that can be a huge pain to deal with. To be clear, I’m not talking about basic information security like checking identity and credentials. I’m referring to restrictions on future use and sharing of the data based on the consent of study participants – generally established through study-specific consent forms. These restrictions exist for legitimate reasons, but the way they’ve traditionally been implemented leaves much to be desired.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="data-use-restrictions-and-the-data-access-dating-game">Data use restrictions and the data access dating game<a href="https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/#data-use-restrictions-and-the-data-access-dating-game" class="hash-link" aria-label="Direct link to Data use restrictions and the data access dating game" title="Direct link to Data use restrictions and the data access dating game" translate="no">​</a></h3>
<p>Due to the historical lack of standardized consent forms, each study typically uses unique language to describe their data use restrictions. There are usually no templates or standards for researchers who seek to request access to the data; they must describe in their own words what kind of research they intend to do with the data, at times not even knowing which data use restrictions apply.</p>
<p>Who, then, is responsible for granting or denying access to the data? That gatekeeping role belongs to a Data Access Committee (DAC), who is tasked with interpreting the data use requests from researchers and evaluating whether they match or conflict with applicable restrictions. Given the lack of consistency in how data use restrictions are formulated across the biomedical ecosystem, it can be challenging for DAC members to make these decisions with confidence or consistently, so the process takes time and effort. In addition, there’s a lot of variability in the composition and governance of these committees. Some DACs are part of large organizations like NIH and have a formal structure, dedicated staff, and a regular cadence for reviewing access requests, but many within research institutions are simply composed of research faculty members who are expected to perform these duties on top of their full-time job.</p>
<p>To be fair, this cumbersome system predates the advent of cloud-based data sharing, and is just as much of an obstacle in the context of traditional data sharing systems. What’s new is that cloud-based initiatives are contributing to a sharp increase in the number of researchers who are able to find datasets of interest and request access to data. As a result, DACs are increasingly unable to respond to the onslaught of requests they are receiving. When it comes down to it, human committees are simply not going to be able to scale.</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="introducing-the-ga4gh-data-use-ontology-and-using-it-to-automate-access">Introducing the GA4GH Data Use Ontology… and using it to automate access<a href="https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/#introducing-the-ga4gh-data-use-ontology-and-using-it-to-automate-access" class="hash-link" aria-label="Direct link to Introducing the GA4GH Data Use Ontology… and using it to automate access" title="Direct link to Introducing the GA4GH Data Use Ontology… and using it to automate access" translate="no">​</a></h3>
<p>To tackle this challenge, the Global Alliance for Genomics and Health (<a href="https://www.ga4gh.org/" target="_blank" rel="noopener noreferrer" class="">GA4GH</a>) Data Use and Researcher Identities (<a href="https://www.ga4gh.org/work_stream/data-use-researcher-identities-duri-2/" target="_blank" rel="noopener noreferrer" class="">DURI</a>) workstream developed an ontological standard for defining data use restrictions. The Data Use Ontology (<a href="https://www.ga4gh.org/news/data-use-ontology-approved-as-a-ga4gh-technical-standard/" target="_blank" rel="noopener noreferrer" class="">DUO</a>) provides a controlled vocabulary that data generators can use to formulate data use restrictions and that researchers can use to express their intended purposes when they apply for access.</p>
<p>In addition to solving the challenge of consistent interpretation of data access requests, DUO can also greatly enhance the&nbsp;<em>searchability</em>&nbsp;of access-restricted datasets. By tagging datasets with their usage restrictions, we can enable search algorithms to take into account whether the researcher is likely to be approved to use the data based on their stated research purpose. This empowers researchers to filter out data that would be out of bounds to them anyway, which is a huge time-saver given the increasingly large numbers of available datasets.</p>
<p>Taking this idea one step further, we can move from&nbsp;<em>consistency</em>&nbsp;in the human review of data access requests to&nbsp;<em>automating</em>&nbsp;the data access decision-making process entirely — our team built the Data Use Oversight System (<a href="https://duos.broadinstitute.org/#/home" target="_blank" rel="noopener noreferrer" class="">DUOS</a>) to do just that. Using DUOS, you can search for datasets with computer-readable data use restrictions, then apply for access to those datasets with a system-generated, computer-readable data access request. Having computer-readable DUO codes for&nbsp;<strong>both</strong>&nbsp;the data use restrictions&nbsp;<strong>and</strong>&nbsp;the data access request, DUOS is able to algorithmically evaluate whether or not the researcher should be granted access to the data!</p>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="what-is-duos"><em>What is DUOS?</em><a href="https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/#what-is-duos" class="hash-link" aria-label="Direct link to what-is-duos" title="Direct link to what-is-duos" translate="no">​</a></h3>
<ul>
<li class="">Interfaces to transform data use restrictions and data access requests to machine-readable code (GA4GH Standard)</li>
<li class="">A matching algorithm that checks if data access requests are compatible with data use restrictions</li>
<li class="">Interfaces for the Data Access Committee to adjudicate whether structuring and matching has been done appropriately</li>
</ul>
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="for-more-details">For more&nbsp; details:<a href="https://kevinmarete.github.io/duos-blog-trial/2019/09/25/ontology-and-automation-a-powerful-duo-for-streamlining-data-access/#for-more-details" class="hash-link" aria-label="Direct link to For more&nbsp; details:" title="Direct link to For more&nbsp; details:" translate="no">​</a></h3>
<p>If you’d like to learn more about this powerful duo of ontology and automation, watch the recording of this past&nbsp;GA4GH webinar:&nbsp;<strong>Automating access to controlled datasets: the GA4GH Data Use Ontology in action</strong>,&nbsp;<strong><a href="https://youtu.be/8ZyU34xpi4M" target="_blank" rel="noopener noreferrer" class="">here</a></strong>&nbsp;on their YouTube channel. I presented our team’s DUOS implementation and talked about how researchers can already use it to access real datasets, and you’ll also hear more about the history of DUO and the work of several other implementers of DUO including the GEnome Medicine Alliance Japan (<a href="https://www.amed.go.jp/en/aboutus/collaboration/ga4gh_gem_japan.html" target="_blank" rel="noopener noreferrer" class="">GEM Japan</a>), Australian Genomics Health Alliance (<a href="https://www.australiangenomics.org.au/" target="_blank" rel="noopener noreferrer" class="">AGHA</a>), European Genome/Phenome Archive (<a href="https://ega-archive.org/dacs" target="_blank" rel="noopener noreferrer" class="">EGA</a>),&nbsp;<a href="https://www.dnastack.com/#/" target="_blank" rel="noopener noreferrer" class="">DNAStack</a>,&nbsp;<a href="https://elixir-europe.org/" target="_blank" rel="noopener noreferrer" class="">Elixir</a>, and the&nbsp;<a href="https://www.sanger.ac.uk/" target="_blank" rel="noopener noreferrer" class="">Wellcome Sanger Institute</a>.</p>]]></content:encoded>
            <category>Policy briefs</category>
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