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NIDDK Central Repository

<!DOCTYPE html><html><head><meta charSet="utf-8"/><meta name="viewport" content="width=device-width"/><title>NIDDK Central Repository</title><meta name="next-head-count" content="3"/><link data-next-font="size-adjust" rel="preconnect" href="/" crossorigin="anonymous"/><link rel="preload" href="/_next/static/css/93e60cbdc9b67ef2.css" as="style"/><link rel="stylesheet" href="/_next/static/css/93e60cbdc9b67ef2.css" data-n-g=""/><link rel="preload" href="/_next/static/css/60b82fb3588e419d.css" as="style"/><link rel="stylesheet" href="/_next/static/css/60b82fb3588e419d.css" data-n-p=""/><noscript data-n-css=""></noscript><script defer="" nomodule="" src="/_next/static/chunks/polyfills-42372ed130431b0a.js"></script><script src="/_next/static/chunks/webpack-dcf4136cb4ed4a3e.js" defer=""></script><script src="/_next/static/chunks/framework-e952fed463eb8e34.js" defer=""></script><script src="/_next/static/chunks/main-97bba83dfe7e8d62.js" defer=""></script><script 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c-0.5,0.8-1,1.3-1.8,1.8c-0.8,0.5-1.5,0.8-2.6,1c-1,0.3-1.8,0.3-2.8,0.3s-2.1,0-3.1-0.3c-0.8-0.3-1.5-0.5-2.3-1 c-0.8-0.5-1.3-1-1.5-1.8c-0.5-0.8-0.5-1.8-0.5-2.6H5L5,773.7L5,773.7z"></path></g></g></svg></div></a></div><div class="PageHeader_searchContent__5k0zQ col"><input name="query" type="text" placeholder="Search the Website..." value=""/><button aria-label="" class="Button_button__OFOdO Button_auto__peQWd Button_primary__WTwSy a a-primary"><svg xmlns="http://www.w3.org/2000/svg" width="23" height="23" fill="currentColor" class="bi bi-search" viewBox="0 0 16 16"><path d="M11.742 10.344a6.5 6.5 0 1 0-1.397 1.398h-.001c.03.04.062.078.098.115l3.85 3.85a1 1 0 0 0 1.415-1.414l-3.85-3.85a1.007 1.007 0 0 0-.115-.1zM12 6.5a5.5 5.5 0 1 1-11 0 5.5 5.5 0 0 1 11 0z"></path></svg></button></div></div><div class="NavBar_stickyContainer___XV6p"><div class="NavBar_headerContainer__KSr1m row"><div class="NavBar_content__GxtKX col"><a href="/home">NIDDK Central Repository</a></div><div 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style="position:relative;overflow:hidden;width:100%" class="Banner_parallax__Gp6_i"></div><div class="News_Container__5MhaX container"><div class="News_Row__U2ml7 whiteTextBackground row"><div class="News_section__5_6BK"><h5 id="news269"><a href="/news/269">New Features and Enhancements Coming to NIDDK-CR: A Smarter, Sleeker Experience!</a></h5><hr class="News_separator__L5zXw"/><div>We’re thrilled to announce exciting system upgrades to the NIDDK-CR platform! Get ready for dynamic new features and functionalities, including interactive graphs, comprehensive study information pages, advanced file exploration tools, and next-level search experience. These enhancements are designed with users in mind to make locating and accessing studies and resources faster and easier than ever. Stay tuned for the release date announcement!—this is one update you won’t want to miss!</div></div><div class="News_section__5_6BK"><h5 id="news268"><a href="/news/268">Coming Soon! NIH Data Sharing Index (S-index) Challenge</a></h5><hr class="News_separator__L5zXw"/><div>The S-index challenge, <a rel="noopener noreferrer" href="https://www.nei.nih.gov/about/news-and-events/news/nei-launches-challenge-promote-data-sharing">led by the National Eye Institute (NEI)</a>, aims to incentivize and reward data sharing by promoting a new metric, the S-index, that will assess how effectively researchers share data. This metric will incorporate factors such as adherence to Findable, Accessible, Interoperable, and Reusable (FAIR) standards, data timeliness, completeness of annotation, frequency of utilization in other studies, and related publications and patents. Phase 1 for this challenge is to generate a proof of concept proposal and will open on April 21, 2025 at 8:00 a.m. EDT. Check out <a rel="noopener noreferrer" href="https://www.challenge.gov/?challenge=nih-data-sharing-index-s-index-challenge">Challenge.gov</a> to learn more about the challenge, how to enter, eligibility, and cash prizes.</div></div><div class="News_section__5_6BK"><h5 id="news260"><a href="/news/260">2024 DataWorks! Prize Challenge – Phase 1 now open!</a></h5><hr class="News_separator__L5zXw"/><div>The Federation of American Societies for Experimental Biology (FASEB) and the National Institutes of Health (NIH) partnered together to host the 2024 DataWorks! Prize. This challenge is a collaboration with the seven generalist repositories participating in the NIH-funded Generalist Repositories Ecosystem Initiative (GREI) and will focus on best practices in data reuse and secondary analysis that advance human health. NIDDK-CR data may be used for this challenge in combination with data from a participating GREI repository. Phase 1 for this challenge closes on 11:59 p.m. EDT on October 23, 2024. Check out <a rel="noopener noreferrer" href="https://www.challenge.gov/?challenge=2024-dataworks-prize&amp;tab=overview"> Challenge.gov</a> to learn more about the challenge, how to enter, eligibility, and prizes.</div></div><div class="News_section__5_6BK"><h5 id="news247"><a href="/news/247">Winners of the Data Centric Challenge presented their winning solution at the May 10th ODSS Data Sharing and Reuse Seminar – Recording Available</a></h5><hr class="News_separator__L5zXw"/><div>Winners of the Intermediate/Advanced-level Data Centric Challenge, Dr. Ali Loveys and Fiona Meng from FI Consulting, presented Laying the Foundation for AI-Ready Data at the ODSS Data Sharing and Reuse Seminar on May 10, 2024. The FI Consulting team successfully consolidated and unified multiple TrialNet data sets and identified data outliers, then enhanced raw data to ensure consistent variable representation and identified numeric and categorical “missingness” to prevent modeling bias, thus enhancing TrialNet data for AI-readiness. <a href="https://www.youtube.com/watch?v=CrABW02QB30">View the recording from the past webinar </a>.</div></div><div class="News_section__5_6BK"><h5 id="news243"><a href="/news/243">New NIDDK Central Repository Policy Released!</a></h5><hr class="News_separator__L5zXw"/><div>NIDDK Central Repository (NIDDK-CR) has released a revised policy that aligns with the NIH Data Management and Sharing (DMS) policy and NIDDK DMS Guidance: <a href="https://grants.nih.gov/grants/guide/notice-files/NOT-DK-24-003.html">https://grants.nih.gov/grants/guide/notice-files/NOT-DK-24-003.html</a>. More details and complete NIDDK-CR Resource Archival and Sharing policy are available under “Helpful Information”- “General Information”: <a href="https://repository.niddk.nih.gov/pages/general_information/">https://repository.niddk.nih.gov/pages/general_information</a></div></div><div class="News_section__5_6BK"><h5 id="news241"><a href="/news/241">NIDDK Central Repository Data Centric Challenge – Winners Announced!</a></h5><hr class="News_separator__L5zXw"/><div>In September 2023, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository announced the Data Centric Challenge aimed at enhancing NIDDK datasets for future artificial intelligence (AI) applications. Challenge participants were tasked to generate an AI-ready dataset that can be used for future data challenges and produce methods to enhance the AI-readiness of NIDDK data. Participation in the Challenge was tiered (i.e., beginner-level and intermediate/advanced-level) and utilized data from two longitudinal studies focused on type 1 diabetes (TEDDY and TrialNet). NIDDK is excited to announce <strong>ICF Inc</strong>. and <strong>FI Consulting</strong> as the Data Centric Challenge winners. Visit Challenge.gov to read more about the winning solutions: <a rel="noopener noreferrer" href="https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge&amp;tab=winners">https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge&amp;tab=winners</a></div></div><div class="News_section__5_6BK"><h5 id="news216"><a href="/news/216">Ready for use: Study Digital Object Identifiers (DOIs) and citations to increase research visibility</a></h5><hr class="News_separator__L5zXw"/><div>DOIs are now available for every NIDDK-CR R4R study! DOIs increase resource visibility and accessibility and enable appropriate credit citation and interoperability. Researchers are encouraged to use them when making public releases using NIDDK-CR R4R resources. A study’s DOI can be found at the top of the study’s overview page along with citation guidance. Additionally, a data availability statement, with data package version and DOI, is available to requestors who are submitting publications.</div></div><div class="News_section__5_6BK"><h5 id="news215"><a href="/news/215">NIH’s New Data Management and Sharing Policy is in effect!</a></h5><hr class="News_separator__L5zXw"/><div>As of January 25, 2023, the <a rel="noopener noreferrer" href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html">NIH Policy for Data Management and Sharing</a> (DMS) is in effect. All research that is funded in whole or in part by NIH is required to submit a DMS plan outlining how scientific data and accompanying metadata will be managed and shared. NIH DMS plans should address the elements described in the <a rel="noopener noreferrer" href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-014.html">Supplemental Information to the NIH DMS Policy</a>. NIH has provided a DMS plan format on the <a rel="noopener noreferrer" href="https://sharing.nih.gov/data-management-and-sharing-policy/planning-and-budgeting-for-data-management-and-sharing/writing-a-data-management-and-sharing-plan#writing-a-data-management-and-sharing-plan">Writing a Data Management and Sharing Plan</a> page on the <a rel="noopener noreferrer" href="https://sharing.nih.gov/">NIH Scientific Data Sharing website</a>. NIDDK is offering Institute-specific guidance for <a rel="noopener noreferrer" href="https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing">Writing a DMS Plan</a> and provides <a rel="noopener noreferrer" href="https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing/dms-tools-examples">NIDDK DMS Tools and Examples.</a></div></div><div class="News_section__5_6BK"><h5 id="news217"><a href="/news/217">Updates to the NIDDK-CR Resources for Research (R4R) biospecimen request process are coming soon</a></h5><hr class="News_separator__L5zXw"/><div>This revamped, streamlined process for requesting biospecimens incorporates user feedback to better facilitate access to biospecimens. Certain requests will still require an X01 Resource Access Award; however, many will need only an administrative review or will leverage existing grant applications peer review if one was submitted. The new request process is designed to share NIDDK-CR resources with more researchers faster and easier to continue fostering innovative research. Researchers can visit <a href="https://repository.niddk.nih.gov/search/counts/">the Material Counts page</a> to explore the available resources and start a request.</div></div><div class="News_section__5_6BK"><h5 id="news218"><a href="/news/218">NIDDK Central Repository joins Vivli to strengthen and expand the data ecosystem</a></h5><hr class="News_separator__L5zXw"/><div>Vivli and the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK), part of the National Institutes of Health (NIH), will be working together to broaden exposure and strengthen NIDDK data ecosystem. As part of Vivli’s award to serve as one of six generalist repositories that will work with the NIH Office of Data Science Strategy under its Generalist Repository Ecosystem Initiative (<a href="https://datascience.nih.gov/exploring-generalist-repository-nih-funded-data">GREI</a>), NIDDK will include NIDDK Central Repository (NIDDK-CR) resources in the Vivli global clinical research data sharing platform. NIDDK-CR’s resources inclusion within Vivli as part of GREI improves discoverability and reuse of NIDDK-CR hosted resources making data more Findable, Accessible, Interoperable, and Reusable (FAIR), increases the scientific value by providing additional opportunities to the NIDDK scientific community, and maximizes the contributions of research participants. To learn more: contact Dr. Rebecca Rodriguez or visit the <a href="https://vivli.org/ourmember/niddk-cr-r4r-a-program-of-the-national-institute-of-diabetes-and-digestive-and-kidney-diseases-nih/">Vivli member page</a>.</div></div><div class="News_section__5_6BK"><h5 id="news219"><a href="/news/219">NLP-based CDE tagging to improve FAIRness of studies in the NIDDK Central Repository</a></h5><hr class="News_separator__L5zXw"/><div>The NIDDK Central Repository (CR) plays a crucial role in making data Findable, Accessible, Interoperable, and Reusable (FAIR). To enhance FAIRness of studies in the Repository, NIDDK and Booz Allen Hamilton, the current Data Repository contractor, have piloted a natural language processing (NLP) pipeline project for harmonizing study variables with NIH CDEs and for identifying potential new CDEs from dataset variables mapped to ontology concepts. Initial results show highly specific mapping of variables to CDEs as well as successful identification of relevant concepts for new CDEs. The pipeline can be refined and applied to other studies to potentially improve FAIRness of the NIDDK CR. Contact Dr. Rebecca Rodriguez with any questions.</div></div></div></div><footer class="Footer_footer__ylvxI"><div class="Footer_footerBackground__oz0ra Footer_colorful__6nhIt "></div><div class="Footer_content__kdMvs"><div class="container"><div class="Footer_footerHeader__BQGGW row">NIH... Turning Discovery into Health ®</div><div class="mb-2 row"><div class="Footer_column__P3enx undefined col-sm-3"><p class="Footer_columnTitle__wFePf Footer_gray__JEbav"><a href="/pages/repository">Repository Resources</a></p><a href="/search/study">Studies</a><a href="/search/counts">Material Counts</a><a href="/requests/approved/data">List of Approved Requestors</a><a href="/publications">Publications</a></div><div class="Footer_column__P3enx col-sm-3"><p class="Footer_columnTitle__wFePf Footer_teal__of3yb"><a href="/pages/helpful_information">Helpful Information</a></p><a href="/pages/general_information">General Information</a><a href="/pages/for_requestors">For Requestors</a><a href="/pages/for_submitters">For Submitters</a><a href="/pages/instructional_materials">Educational/Instructional Information</a><a href="/pages/data_challenges">Data Challenges</a><a href="/pages/externa_links">External Links</a></div><div class="Footer_column__P3enx col-sm-3"><p class="Footer_columnTitle__wFePf Footer_blue__h5Qmd"><a href="/pages/requests">Requests</a></p><a href="/requests/reuse/data-request">Data Request</a><a href="/requests/biospecimen_types">Specimen Request</a></div><div class="Footer_column__P3enx col-sm-3"><p class="Footer_columnTitle__wFePf Footer_blue__h5Qmd"><a href="/pages/about_niddk_cr">About NIDDK-CR</a></p><a href="/pages/about">About NIDDK-CR</a><a href="/news">R4R News</a><a href="/faq">Frequently Asked Questions</a><a href="/pages/site_map">Site Navigation Map</a><a href="/pages/definitions">Definitions</a><a href="/contacts">Contact the NIDDK-CR</a></div></div></div></div><div class="Footer_blackFooter__dTd_Q"><div class="Footer_blackFooterContainer__eegTA container"><div class="Footer_footerLinks__5nXNj row"><ul><li>v. 00.0.1</li><li><a href="/pages/privacy/">Privacy Policy</a></li><li><a href="https://www.niddk.nih.gov/freedom-information-act">Freedom of Information Act</a></li><li><a href="/pages/accessibility/">Accessibility</a></li><li><a href="https://www.niddk.nih.gov/disclaimers">Disclaimers</a></li><li><a href="https://www.niddk.nih.gov/copyright">Copyright</a></li><li><a href="https://www.hhs.gov/vulnerability-disclosure-policy/index.html">Vulnerability Disclosure Policy</a></li><li><a href="/pages/site_map/">Site Map</a></li></ul><ul><li><a href="https://www.hhs.gov/"><span>U.S. Department of Health and Human Services</span></a></li><li itemProp="memberOf" itemType="http://schema.org/GovernmentOrganization"><a href="https://www.nih.gov/" itemProp="url"><span itemProp="name">National Institutes of Health</span></a></li><li><a href="https://www.niddk.nih.gov/">NIDDK Home</a></li></ul></div><div class="Footer_ctsContainer__dnT05 row"><a href="https://doi.org/10.34894/NOYYSF" target="_blank" rel="noopener noreferrer"><img src="/images/CoreTrustSeal-logo-transparent.png" class="Footer_ctsLogo__nRZwO" alt="Core Trust Seal Logo"/></a><div><a href="https://amt.coretrustseal.org/certificates">Core Trustworthy Data Repository</a></div></div></div></div></footer></div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"news":[{"id":269,"title":"New Features and Enhancements Coming to NIDDK-CR: A Smarter, Sleeker Experience!","content":"We’re thrilled to announce exciting system upgrades to the NIDDK-CR platform! Get ready for dynamic new features and functionalities, including interactive graphs, comprehensive study information pages, advanced file exploration tools, and next-level search experience. These enhancements are designed with users in mind to make locating and accessing studies and resources faster and easier than ever. Stay tuned for the release date announcement!—this is one update you won’t want to miss!","publishedDate":"2024-11-22T19:03:37Z"},{"id":268,"title":"Coming Soon! NIH Data Sharing Index (S-index) Challenge","content":"The S-index challenge, \u003ca href = \"https://www.nei.nih.gov/about/news-and-events/news/nei-launches-challenge-promote-data-sharing\" target =\"_blank\" rel =\"noopener noreferrer\"\u003eled by the National Eye Institute (NEI)\u003c/a\u003e, aims to incentivize and reward data sharing by promoting a new metric, the S-index, that will assess how effectively researchers share data. This metric will incorporate factors such as adherence to Findable, Accessible, Interoperable, and Reusable (FAIR) standards, data timeliness, completeness of annotation, frequency of utilization in other studies, and related publications and patents. Phase 1 for this challenge is to generate a proof of concept proposal and will open on April 21, 2025 at 8:00 a.m. EDT. Check out \u003ca href = \"https://www.challenge.gov/?challenge=nih-data-sharing-index-s-index-challenge\" target =\"_blank\" rel =\"noopener noreferrer\"\u003eChallenge.gov\u003c/a\u003e to learn more about the challenge, how to enter, eligibility, and cash prizes.","publishedDate":"2024-11-14T20:51:04Z"},{"id":260,"title":"2024 DataWorks! Prize Challenge – Phase 1 now open!","content":"The Federation of American Societies for Experimental Biology (FASEB) and the National Institutes of Health (NIH) partnered together to host the 2024 DataWorks! Prize. This challenge is a collaboration with the seven generalist repositories participating in the NIH-funded Generalist Repositories Ecosystem Initiative (GREI) and will focus on best practices in data reuse and secondary analysis that advance human health. NIDDK-CR data may be used for this challenge in combination with data from a participating GREI repository. Phase 1 for this challenge closes on 11:59 p.m. EDT on October 23, 2024. Check out \u003ca href = \"https://www.challenge.gov/?challenge=2024-dataworks-prize\u0026tab=overview\" target = \"_blank\" rel = \"noopener noreferrer\"\u003e Challenge.gov\u003c/a\u003e to learn more about the challenge, how to enter, eligibility, and prizes.","publishedDate":"2024-08-22T15:08:41Z"},{"id":247,"title":"Winners of the Data Centric Challenge presented their winning solution at the May 10th ODSS Data Sharing and Reuse Seminar – Recording Available","content":"Winners of the Intermediate/Advanced-level Data Centric Challenge, Dr. Ali Loveys and Fiona Meng from FI Consulting, presented Laying the Foundation for AI-Ready Data at the ODSS Data Sharing and Reuse Seminar on May 10, 2024. The FI Consulting team successfully consolidated and unified multiple TrialNet data sets and identified data outliers, then enhanced raw data to ensure consistent variable representation and identified numeric and categorical “missingness” to prevent modeling bias, thus enhancing TrialNet data for AI-readiness. \u003ca href=\"https://www.youtube.com/watch?v=CrABW02QB30\"\u003eView the recording from the past webinar \u003c/a\u003e.","publishedDate":"2024-06-26T13:59:22Z"},{"id":243,"title":"New NIDDK Central Repository Policy Released!","content":"NIDDK Central Repository (NIDDK-CR) has released a revised policy that aligns with the NIH Data Management and Sharing (DMS) policy and NIDDK DMS Guidance: \u003ca href=\"https://grants.nih.gov/grants/guide/notice-files/NOT-DK-24-003.html\" target=\"__blank\"\u003ehttps://grants.nih.gov/grants/guide/notice-files/NOT-DK-24-003.html\u003c/a\u003e. More details and complete NIDDK-CR Resource Archival and Sharing policy are available under “Helpful Information”- “General Information”: \u003ca href =\"https://repository.niddk.nih.gov/pages/general_information/\" target=\"__blank\"\u003ehttps://repository.niddk.nih.gov/pages/general_information\u003c/a\u003e","publishedDate":"2024-03-29T20:32:54Z"},{"id":241,"title":"NIDDK Central Repository Data Centric Challenge – Winners Announced!","content":"In September 2023, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository announced the Data Centric Challenge aimed at enhancing NIDDK datasets for future artificial intelligence (AI) applications. Challenge participants were tasked to generate an AI-ready dataset that can be used for future data challenges and produce methods to enhance the AI-readiness of NIDDK data. Participation in the Challenge was tiered (i.e., beginner-level and intermediate/advanced-level) and utilized data from two longitudinal studies focused on type 1 diabetes (TEDDY and TrialNet). NIDDK is excited to announce \u003cstrong\u003eICF Inc\u003c/strong\u003e. and \u003cstrong\u003eFI Consulting\u003c/strong\u003e as the Data Centric Challenge winners. Visit Challenge.gov to read more about the winning solutions: \u003ca href=\"https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge\u0026tab=winners\" target=\"_blank\" rel=\"noopener noreferrer\"\u003ehttps://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge\u0026tab=winners\u003c/a\u003e","publishedDate":"2024-02-28T21:38:57Z"},{"id":216,"title":"Ready for use: Study Digital Object Identifiers (DOIs) and citations to increase research visibility","content":"DOIs are now available for every NIDDK-CR R4R study! DOIs increase resource visibility and accessibility and enable appropriate credit citation and interoperability. Researchers are encouraged to use them when making public releases using NIDDK-CR R4R resources. A study’s DOI can be found at the top of the study’s overview page along with citation guidance. Additionally, a data availability statement, with data package version and DOI, is available to requestors who are submitting publications.","publishedDate":"2023-04-07T19:28:50Z"},{"id":215,"title":"NIH’s New Data Management and Sharing Policy is in effect!","content":"As of January 25, 2023, the \u003ca href=\"https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eNIH Policy for Data Management and Sharing\u003c/a\u003e (DMS) is in effect. All research that is funded in whole or in part by NIH is required to submit a DMS plan outlining how scientific data and accompanying metadata will be managed and shared. NIH DMS plans should address the elements described in the \u003ca href=\"https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-014.html\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eSupplemental Information to the NIH DMS Policy\u003c/a\u003e. NIH has provided a DMS plan format on the \u003ca href=\"https://sharing.nih.gov/data-management-and-sharing-policy/planning-and-budgeting-for-data-management-and-sharing/writing-a-data-management-and-sharing-plan#writing-a-data-management-and-sharing-plan\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eWriting a Data Management and Sharing Plan\u003c/a\u003e page on the \u003ca href=\"https://sharing.nih.gov/\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eNIH Scientific Data Sharing website\u003c/a\u003e. NIDDK is offering Institute-specific guidance for \u003ca href=\"https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eWriting a DMS Plan\u003c/a\u003e and provides \u003ca href=\"https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing/dms-tools-examples\" target=\"_blank\" rel=\"noopener noreferrer\"\u003eNIDDK DMS Tools and Examples.\u003c/a\u003e","publishedDate":"2023-04-07T19:25:18Z"},{"id":217,"title":"Updates to the NIDDK-CR Resources for Research (R4R) biospecimen request process are coming soon","content":"This revamped, streamlined process for requesting biospecimens incorporates user feedback to better facilitate access to biospecimens. Certain requests will still require an X01 Resource Access Award; however, many will need only an administrative review or will leverage existing grant applications peer review if one was submitted. The new request process is designed to share NIDDK-CR resources with more researchers faster and easier to continue fostering innovative research. Researchers can visit \u003ca href=\"https://repository.niddk.nih.gov/search/counts/\"\u003ethe Material Counts page\u003c/a\u003e to explore the available resources and start a request.","publishedDate":"2022-11-30T19:59:29Z"},{"id":218,"title":"NIDDK Central Repository joins Vivli to strengthen and expand the data ecosystem","content":"Vivli and the National Institute of Diabetes and Digestive and Kidney Disease (NIDDK), part of the National Institutes of Health (NIH), will be working together to broaden exposure and strengthen NIDDK data ecosystem. As part of Vivli’s award to serve as one of six generalist repositories that will work with the NIH Office of Data Science Strategy under its Generalist Repository Ecosystem Initiative (\u003ca href=\" https://datascience.nih.gov/exploring-generalist-repository-nih-funded-data\"\u003eGREI\u003c/a\u003e), NIDDK will include NIDDK Central Repository (NIDDK-CR) resources in the Vivli global clinical research data sharing platform. NIDDK-CR’s resources inclusion within Vivli as part of GREI improves discoverability and reuse of NIDDK-CR hosted resources making data more Findable, Accessible, Interoperable, and Reusable (FAIR), increases the scientific value by providing additional opportunities to the NIDDK scientific community, and maximizes the contributions of research participants. \n\nTo learn more: contact Dr. Rebecca Rodriguez or visit the \u003ca href=\"https://vivli.org/ourmember/niddk-cr-r4r-a-program-of-the-national-institute-of-diabetes-and-digestive-and-kidney-diseases-nih/\"\u003eVivli member page\u003c/a\u003e.","publishedDate":"2022-10-07T01:09:48Z"},{"id":219,"title":"NLP-based CDE tagging to improve FAIRness of studies in the NIDDK Central Repository","content":"The NIDDK Central Repository (CR) plays a crucial role in making data Findable, Accessible, Interoperable, and Reusable (FAIR). To enhance FAIRness of studies in the Repository, NIDDK and Booz Allen Hamilton, the current Data Repository contractor, have piloted a natural language processing (NLP) pipeline project for harmonizing study variables with NIH CDEs and for identifying potential new CDEs from dataset variables mapped to ontology concepts. Initial results show highly specific mapping of variables to CDEs as well as successful identification of relevant concepts for new CDEs. The pipeline can be refined and applied to other studies to potentially improve FAIRness of the NIDDK CR. \nContact Dr. Rebecca Rodriguez with any questions.","publishedDate":"2021-11-17T16:26:30Z"}],"siteUrl":"https://repository.niddk.nih.gov"},"__N_SSP":true},"page":"/news","query":{},"buildId":"UqJahZMZxEcWrnn71ZPda","isFallback":false,"isExperimentalCompile":false,"gssp":true,"scriptLoader":[]}</script></body></html>

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