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NIDDK Central Repository Homepage

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button functionality for main menu dropdowns function closeParentMenu(e) { $(e.target.closest(".dropdown").firstElementChild).dropdown('toggle'); } // Control search bar toggle for mobile view function toggleSearch() { searchform = document.getElementById("search-form-div"); searchToggle = document.getElementById("search-toggle-div"); feedback = document.getElementById("feedback-slide-out"); if (searchToggle.classList.contains('closed')) { searchToggle.classList.remove('closed'); searchToggle.classList.add('opened'); searchform.classList.add('show'); feedback.style.top = "475px"; } else { searchToggle.classList.remove('opened'); searchToggle.classList.add('closed'); searchform.classList.remove('show'); feedback.style.removeProperty("top"); } } // Hover functionality for desktop navigation const dropdown = $(".dropdown"); const dropdownToggle = $(".dropdown-toggle"); const dropdownMenu = $(".dropdown-menu"); const showClass = "show"; $(window).on("load resize", function() { if (this.matchMedia("(min-width: 1200px)").matches) { dropdown.hover( function() { const $this = $(this); $this.addClass(showClass); $this.find(dropdownToggle).attr("aria-expanded", "true"); $this.find(dropdownMenu).addClass(showClass); }, function() { const $this = $(this); $this.removeClass(showClass); $this.find(dropdownToggle).attr("aria-expanded", "false"); $this.find(dropdownMenu).removeClass(showClass); } ); } else { dropdown.unbind(); } }); </script> <!-- If the current page is not the home page, don't add hex pattern background. Else, add hex pattern --> <div id="skipTo" class="content homepage hex-pattern"> <!-- If the current page is not the home page, display a link to the home page --> <!-- Content --> <div id="hero"> <div class="container" id="heroContent"> <div> <h1>NIDDK-CR Resources for Research (R4R)</h1> <div id="whiteLine"></div> <p> NIDDK Central Repository - Resources for Research (NIDDK-CR R4R) facilitates sharing of data, specimens, and other resources generated from studies supported by NIDDK and within NIDDK’s mission by making these resources available for request to the broader scientific and research community. </p> </div> </div> <div class="slide-out" id="feedback-slide-out" tabindex=0> <p>Feedback</p> <div class="slide-out-content"> <p>NIDDK looks forward to getting feedback from NIDDK-CR R4R users. Contact the Repository below.</p> <div> <a href="/contact/" role="button" tabindex=0> Submit Feedback </a> </div> </div> </div> </div> <div class="homepage container"> <div> <div class="row new-user-container first"> <div class="new-user-button"> <div class="new-user-label"> New to NIDDK-CR R4R? </div> <a class="new-user-action" href="/faq/" role="button" tabindex=0> Access the Frequently Asked Questions<i class="fas fa-long-arrow-alt-right" style="margin-left: 10px"></i> </a> </div> </div> <div class="row card-row"> <div class="col-lg-4 col-md-12"> <div class="card small-card"> <div class="card-header green"> <h2>Studies by NIDDK Research Area</h2> </div> <div class="graph-container"> <div class="graph"> <canvas id="myChart" aria-label="Pie chart depicting breakdown of Studies by NIDDK Research Area. Details are provided as a list next to the chart" role="img"></canvas> </div> <div id="legend-container-research-area" class="legend-container" tabindex=0></div> <script id="research_area_data" type="application/json">"{\"Digestive and Liver Diseases\": 78, \"Diabetes, Endocrinology, and Metabolic Diseases\": 84, \"Obesity and Nutrition\": 11, \"Kidney and Urologic Diseases\": 67}"</script> <script> const research_area_data = JSON.parse(document.getElementById('research_area_data').textContent); </script> <script src='/static/js/studies_by_research_area_graph.js'></script> </div> <div class="chart-text"> <p>* Note: Studies may fall within more than one research area.</p> </div> </div> </div> <div class="col-lg-4 col-md-12"> <div class="card small-card"> <div class="card-header purple"> <!-- purple with 3 circle graphs --> <h2>Studies by NIDDK Division</h2> </div> <div class="graph-container"> <div class="graph"> <canvas id="myChart2" aria-label="Pie chart depicting breakdown of Studies by NIDDK Division. Details are provided as a list next to the chart" role="img"></canvas> </div> <div id="legend-container-division" class="legend-container" tabindex=0></div> <script id="division_graph_data" type="application/json">"{\"DDN\": 73, \"DEM\": 63, \"KUH\": 70}"</script> <script> const division_graph_data = JSON.parse(document.getElementById('division_graph_data').textContent); </script> <script src='/static/js/studies_by_division_graph.js'></script> </div> <div class="chart-text"> <p> </p> </div> </div> </div> <div class="col-lg-4 col-md-12"> <div class="card small-card"> <div class="card-header blue"> <h2>Specimens by Type</h2> </div> <div class="graph-container"> <div class="graph"> <canvas id="myChart3" aria-label="Pie chart depicting breakdown of Specimens by Type. Details are provided as a list next to the chart" role="img"></canvas> </div> <div id="legend-container-biospecimens-type" class="legend-container" tabindex=0></div> <script id="biospecimens_type_data" type="application/json">"{\"Biological Macromolecule\": 1369173, \"Cells\": 1114675, \"Fluids\": 13803814, \"Tissue\": 225524}"</script> <script id="secondary_biospecimens_type_data" type="application/json">"{\"Biological Macromolecule\": {\"cDNA\": 83, \"DNA\": 617763, \"Extracted mRNA\": 528, \"Mitochondrial RNA\": 1898, \"Plasma Prot\": 5596, \"Protein\": 1391, \"RNA\": 741753, \"RNA Supernatant\": 161}, \"Cells\": {\"B Cells\": 15049, \"Buffy Coat\": 134504, \"Cells\": 16019, \"Dried Blood Spot\": 17022, \"EBV PBMC (2nd)\": 4264, \"EBV Transformed Cell Lines\": 253571, \"Fibroblasts/skin\": 165, \"Fibroblasts/tendon\": 5, \"Islet Cells\": 118, \"Lymphocytes\": 29980, \"Non-Viable Cells\": 6362, \"PBMC\": 28497, \"PB-PBMC\": 411240, \"Red Blood Cells\": 9955, \"R-RBC\": 181688, \"Stimulated Leukocytes\": 210, \"Unstimulated Leukocytes\": 206, \"Viable Cells\": 5820}, \"Fluids\": {\"24 h urine\": 140447, \"BBT Serum\": 342, \"BILE\": 150, \"Bile-GB Aspirate\": 51, \"Blood PBS\": 20468, \"Cell Pellet\": 10, \"Duodenal Fluid\": 1045, \"Externally Produced Serum\": 686, \"Frozen Plasma\": 9226, \"MM Tolerance Test\": 5589, \"Nasal Swab\": 143923, \"Oral Glucose Tolerance Test\": 19955, \"Overnight Urine\": 12827, \"PAX gene\": 94, \"Perineal Swab\": 593, \"Plasma\": 4620732, \"Plasma or Serum\": 18, \"Saliva\": 46997, \"SER_RTLS\": 7, \"Serum\": 6244201, \"STIM Tubes\": 4273, \"Stool\": 602256, \"Stool PBS\": 3203, \"Supernatant\": 114799, \"Tap Water from the Children's Homes\": 191227, \"Timed Urine\": 309, \"Urine\": 1455982, \"Urine Assay Assure\": 3041, \"Urine Pellet\": 34405, \"Urine Supernatant\": 15587, \"Vaginal Swab\": 1245, \"Whole Blood\": 110126}, \"Tissue\": {\"Bile Duct\": 4343, \"Bile Duct Tissue\": 1, \"Bile-GB Aspirate Tissue\": 44, \"Biliary Remnant\": 1685, \"Bladder Tissue\": 25919, \"Cinci Core Bx\": 1, \"Gallbladder\": 4386, \"Gallbladder Tissue\": 94, \"Hair\": 751, \"Liver Biopsy\": 3057, \"Liver Explant\": 10, \"Liver Perc Bx\": 619, \"Liver Tissue\": 77594, \"Liver Wedge Bx\": 891, \"Lymph Node\": 372, \"Lymph Node Tissue\": 15, \"Nail Clipping\": 39184, \"Needle Bx\": 509, \"Percutaneous Bx\": 1179, \"Placenta Tissue\": 2750, \"Primary Tooth\": 2334, \"Prostate Tissue\": 46961, \"SI/Colon Tissue\": 136, \"Tissue\": 810, \"Vein Tissue\": 1008, \"Wedge Bx\": 10871}}"</script> <script> const biospecimens_type_data = JSON.parse(document.getElementById('biospecimens_type_data').textContent); const secondary_biospecimens_type_data = JSON.parse(document.getElementById('secondary_biospecimens_type_data').textContent); </script> <script src='/static/js/biospecimens_by_type_graph.js'></script> </div> <div class="chart-text"> <p> </p> </div> </div> </div> </div> <div class="row card-row"> <div class="col-lg-8 col-md-12"> <div class="card big-card statCard"> <div class="card-header purple"> <h2>Start a Request</h2> </div> <div class="siteStats"> <div> <div class="circle green"> 157 </div> <div class="flag green"> Studies with data available for request </div> </div> <div> <div class="circle light-blue"> 109 </div> <div class="flag light-blue"> Studies with specimens available for request </div> </div> </div> <div class="buttonContent"> <a href="/admin/login/" role="button" class="login-request"> Login to Start Request </a> </div> </div> </div> <div class="col-lg-4 col-md-12"> <div class="card medium-card"> <div class="card-header green"> <h2>Featured News</h2> </div> <div class="scroll-container"> <div class="card-content"> <h3><a href="/news/#post-269">New Features and Enhancements Coming to NIDDK-CR: A Smarter, Sleeker Experience!</a></h3> <p id="date">November 22, 2024</p> <p><p>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!</p></p> <h3><a href="/news/#post-268">Coming Soon! NIH Data Sharing Index (S-index) Challenge</a></h3> <p id="date">November 14, 2024</p> <p><p>The S-index challenge, <a href = "https://www.nei.nih.gov/about/news-and-events/news/nei-launches-challenge-promote-data-sharing" target ="_blank" rel ="noopener noreferrer">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 href = "https://www.challenge.gov/?challenge=nih-data-sharing-index-s-index-challenge" target ="_blank" rel ="noopener noreferrer">Challenge.gov</a> to learn more about the challenge, how to enter, eligibility, and cash prizes.</p></p> <h3><a href="/news/#post-265">Upcoming Event: NIDDK Pre-Workshop Webinar Series 1: The bio-behavioral dimensions of diabetes heterogeneity, on October 17, 2024, from 11-1 PM EST</a></h3> <p id="date">September 25, 2024</p> <p><p>The <a href="https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024">AI in Precision Medicine for Diabetes and Other Chronic Diseases</a> pre-workshop webinar series hosted by NIDDK is designed to set the stage to start the discussion in precision medicine offered by recent advances in AI and data science. The first webinar in this series titled “The bio-behavioral dimensions of diabetes heterogeneity” on Thursday, October 17, 2024, will feature presentations from Dr. Yao Qin, Assistant Professor at the University of California, Santa Barbara, and Senior Research Scientist at Google DeepMind, on “Data-Driven Machine Learning: Unlocking the Future of Closed-Loop Diabetes Care” and from Dr. Ashu Sabharwal, Ernest Dell Butcher Professor at Rice University, on “Bio-behavioral Pathways in Diabetes”. Join the webinar on Thursday, October 17, 2024, from 11-1 PM EST using the participant Zoom link: <a href="https://nih.zoomgov.com/j/1617468705?pwd=JlqDARcaIBItOmw9bORkRLaCX70And.1">https://nih.zoomgov.com/j/1617468705?pwd=JlqDARcaIBItOmw9bORkRLaCX70And.1</a></p></p> <h3><a href="/news/#post-264">Upcoming Event: NIDDK Pre-Workshop Webinar Series 2: Advances in AI and applications in biomedicine, on October 24, 2024, from 1-3 PM EST</a></h3> <p id="date">September 25, 2024</p> <p><p>The <a href="https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024">AI in Precision Medicine for Diabetes and Other Chronic Diseases</a> pre-workshop webinar series hosted by NIDDK is designed to set the stage to start the discussion in precision medicine offered by recent advances in AI and data science. The second webinar in this series titled “Advances in AI and applications in biomedicine” on Thursday, October 24, 2024, will feature presentations from Dr. James Zou, Associate Professor at Stanford University, on “AI agents for biomedicine” and from Dr. Eran Halperin, Professor at University of California, Los Angeles, on “AI challenges and opportunities across data modalities in medicine”. Join the webinar on Thursday, October 24, 2024, from 1-3 PM EST using the participant Zoom link: <a href="https://nih.zoomgov.com/j/1605069617?pwd=Ibhhv0HU2ZBIzEaldMPoqXyC32TuG8.1">https://nih.zoomgov.com/j/1605069617?pwd=Ibhhv0HU2ZBIzEaldMPoqXyC32TuG8.1</a></p></p> <h3><a href="/news/#post-263">Upcoming Event: Artificial Intelligence in Precision Medicine for Diabetes and Other Chronic Diseases: Challenges and Opportunities in Developing Predictive Models and Biomarkers for Disease Initiation, Progression, Prevention, and Subtypes</a></h3> <p id="date">September 25, 2024</p> <p><p>The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) is hosting a two-day hybrid workshop on October 30-31, 2024, at the Neuroscience Center Building, 6001 Executive Blvd., Bethesda, MD. This workshop aims to bring together biomedical researchers and artificial intelligence and machine learning (AI/ML) experts, to discuss the critical challenges, crosscutting gaps, and opportunities for and actionable items in leveraging AI/ML and other recent data science advances in precision medicine, with a focus on diabetes and other chronic disease areas relevant to the NIDDK mission. For more information and to register for the workshop, visit the NIDDK website: <a href="https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024">https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024</a></p></p> <h3><a href="/news/#post-260">2024 DataWorks! Prize Challenge – Phase 1 now open!</a></h3> <p id="date">August 22, 2024</p> <p><p>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 href = "https://www.challenge.gov/?challenge=2024-dataworks-prize&tab=overview" target = "_blank" rel = "noopener noreferrer"> Challenge.gov</a> to learn more about the challenge, how to enter, eligibility, and prizes.</p></p> <h3><a href="/news/#post-247">Winners of the Data Centric Challenge presented their winning solution at the May 10th ODSS Data Sharing and Reuse Seminar – Recording Available</a></h3> <p id="date">June 26, 2024</p> <p><p>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>.</p></p> <h3><a href="/news/#post-243">New NIDDK Central Repository Policy Released!</a></h3> <p id="date">March 29, 2024</p> <p><p>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" target="__blank">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/" target="__blank">https://repository.niddk.nih.gov/pages/general_information</a></p></p> <h3><a href="/news/#post-241">NIDDK Central Repository Data Centric Challenge – Winners Announced!</a></h3> <p id="date">February 28, 2024</p> <p><p>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 href="https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge&tab=winners" target="_blank" rel="noopener noreferrer">https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge&amp;tab=winners</a></p></p> <h3><a href="/news/#post-222">Upcoming Event: NIDDK Central Repository 20th Anniversary Workshop: Promoting Secondary Research to Accelerate Medical Breakthroughs and Innovation</a></h3> <p id="date">June 1, 2023</p> <p><p>Join us for a two-day virtual workshop on September 19th and 20th, from 10 a.m. to 3:00 p.m. (Eastern Time), focused on promoting secondary research to accelerate medical breakthroughs and foster innovation. Renowned guest speakers, engaging panel discussions, and informative lightning talks will shed light on the history and valuable resources of NIDDK-CR as we commemorate its 20th anniversary. Plus, don’t miss the introduction of our new analytics workspace and the launch of our data-centric challenge to enhance research capabilities. Mark your calendars now and be part of this extraordinary event! Register here: <a href = "https://www.niddk.nih.gov/news/meetings-workshops/2023/central-repository-20th-anniversary-workshop" target = "_blank" rel = "noopener noreferrer">https://www.niddk.nih.gov/news/meetings-workshops/2023/central-repository-20th-anniversary-workshop</a></p></p> <h3><a href="/news/#post-216">Ready for use: Study Digital Object Identifiers (DOIs) and citations to increase research visibility</a></h3> <p id="date">April 7, 2023</p> <p><p>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.</p></p> <h3><a href="/news/#post-215">NIH’s New Data Management and Sharing Policy is in effect!</a></h3> <p id="date">April 7, 2023</p> <p><p>As of January 25, 2023, the <a href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-013.html" target="_blank" rel="noopener noreferrer">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 href="https://grants.nih.gov/grants/guide/notice-files/NOT-OD-21-014.html" target="_blank" rel="noopener noreferrer">Supplemental Information to the NIH DMS Policy</a>. NIH has provided a DMS plan format on the <a 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">Writing a Data Management and Sharing Plan</a> page on the <a href="https://sharing.nih.gov/" target="_blank" rel="noopener noreferrer">NIH Scientific Data Sharing website</a>. NIDDK is offering Institute-specific guidance for <a href="https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing" target="_blank" rel="noopener noreferrer">Writing a DMS Plan</a> and provides <a href="https://www.niddk.nih.gov/research-funding/research-resources/data-management-sharing/dms-tools-examples" target="_blank" rel="noopener noreferrer">NIDDK DMS Tools and Examples.</a></p></p> <h3><a href="/news/#post-217">Updates to the NIDDK-CR Resources for Research (R4R) biospecimen request process are coming soon</a></h3> <p id="date">November 30, 2022</p> <p><p>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.</p></p> <h3><a href="/news/#post-218">NIDDK Central Repository joins Vivli to strengthen and expand the data ecosystem</a></h3> <p id="date">October 6, 2022</p> <p><p>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. </p> <p>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>.</p></p> <h3><a href="/news/#post-219">NLP-based CDE tagging to improve FAIRness of studies in the NIDDK Central Repository</a></h3> <p id="date">November 17, 2021</p> <p><p>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. <br /> Contact Dr. Rebecca Rodriguez with any questions.</p></p> </div> </div> </div> </div> </div> <div class="row card-row"> <div class="col-lg-4 col-md-12"> <div class="card medium-card"> <div class="card-header blue"> <h2>Funding Opportunities</h2> </div> <div class="scroll-container"> <div class="card-content"> <h3><a href="/news/#post-248">Notice of Special Interest (NOSI): Promoting Data Reuse for Health Research</a></h3> <p id="date">May 6, 2024</p> <p><p>This Notice of Special Interest (NOSI) solicits competitive revision applications that focus on data reuse and secondary data analysis in NIH-funded data repositories and knowledgebases to advance scientific inquiry and address health research questions. For additional details on the opportunity see the <a href = "https://grants.nih.gov/grants/guide/notice-files/NOT-OD-24-096.html" target = "_blank" rel = "noopener noreferrer">the NIH grant page</a></p></p> <h3><a href="/news/#post-223">Notice of Special Interest: Administrative Supplements to Support Collaborations to Improve Data Interoperability/Re-use for Existing Type 2 Diabetes Relevant Data Sets</a></h3> <p id="date">June 5, 2023</p> <p><p>The goal of this Notice of Special Interest (NOSI) is to provide support through administrative supplements collaborations to improve interoperability/re-use for NIDDK supported T2D data sets and related resources such as repositories and knowledgebases. NIDDK mandates its funded projects to comply with the <a href = "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175/" target = "_blank" rel = "noopener noreferrer">FAIR principles</a>, i.e., making all data sets and related resources Findable, Accessible, Interoperable and Reusable. While Findability and Accessibility are usually achieved, many projects face unexpected challenges in making their data sets and related resources Interoperable with that from other programs and projects, which consequently also affect the Reusability. This also poses obstacles in the reuse of data and tools that capitalize on the latest data science advancements such as those in AI/ML, where the greatest potential lies in automated integration of large multi-modal data types for discovery and novel hypothesis generation. For additional details on the opportunity, see <a href = "https://grants.nih.gov/grants/guide/notice-files/NOT-DK-23-022.html" target = "_blank" rel = "noopener noreferrer">the NIH grant page</a>. Submissions are due July 11, 2023.</p></p> <h3><a href="/news/#post-189">Data Harmonization, Curation and Secondary Analysis of Existing Clinical Datasets</a></h3> <p id="date">March 19, 2022</p> <p><p>This funding opportunity announcement invites applications from multidisciplinary teams to perform secondary data analysis, using existing datasets from two or more multi-site clinical research projects, including clinical trials, natural history studies, and/or comparative effectiveness research. Secondary analyses should address scientific and / or clinical hypotheses that can advance the understanding or care of neurological disorders and conditions within the NINDS mission. In this phased award funding mechanism, applications are required to systematically and comprehensively perform cross-project data harmonization and curation, assessed using go/no-go data-quality metrics, prior to performing secondary analyses of existing clinical data. Consistent with the FAIR (findable, accessible, interoperable and reusable) data principles, this funding opportunity expects open-source cataloging of the processes and tools used for harmonization, curation, and analysis, as well as controlled access to the curated datasets. For additional details on the opportunity, see <a href="https://grants.nih.gov/grants/guide/pa-files/PAR-22-055.html">the NIH grant page</a>.</p></p> <h3><a href="/news/#post-155">NIDDK R21 for Secondary Data Analysis</a></h3> <p id="date">October 21, 2020</p> <p><p>NIDDK has posted an opportunity for those using secondary data in new analyses. The eligible data includes that which can be requested via the repository website. For additional details on the opportunity, see <a href="https://grants.nih.gov/grants/guide/pa-files/pa-18-741.html">the NIH grant page</a>.</p></p> </div> </div> </div> </div> <div class="col-lg-8 col-md-12"> <div class="card big-card"> <div class="card-header purple" style="background-position: 360px;"> <h2>Updates to R4R Resources</h2> </div> <div class="scroll-container"> <div class="card-content"> <h3><a class="headline" href="/news/#post-267">Data Update for TN19</a></h3> <p id="date">October 29, 2024</p> <p>Data have been updated for Antithymocyte Globulin (ATG) and Pegylated Granulocyte Colony Stimulating Factor (GCSF) in New Onset Type 1 Diabetes (TN19). This update includes additional flow analysis datasets. If you have already been approved to receive the TN19 data …</p> <h3><a class="headline" href="/news/#post-266">New Study: ELASTIC-CF</a></h3> <p id="date">October 7, 2024</p> <p>A new study, Longitudinal Assessment of Transient Elastography in Cystic Fibrosis (ELASTIC-CF), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The ELASTIC-CF study assessed if combining FibroScan® measurement of liver stiffness …</p> <h3><a class="headline" href="/news/#post-262">New Study: VIEW</a></h3> <p id="date">September 20, 2024</p> <p>A new study, Validation of Bladder Health Instrument for Evaluation in Women (VIEW), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The VIEW study prospectively collected data to test and validate …</p> </div> </div> </div> </div> </div> </div> </div> <!-- End of Content --> <!-- If the current page is not the home page, add closing divs to contain body content normally --> </div> <footer role="contentinfo"> <div class="site-links"> <div class="container"> <div class="row slogan"><div>NIH… Turning Discovery Into Health ®</div></div> <div class="row"> <div class="menu-links"> <div class="menu-link"> <a href="/pages/repository_resources/" >Repository Resources</a></div> <ul class="menu-list"> <li><a href="/search/study/">Studies</a></li> <li><a href="/search/counts/">Material Counts</a></li> <li><a href="/requests/approved/data">List of Approved Requestors</a></li> <li><a href="/publications/">Publications</a></li> </ul> </div> <div class="menu-links"> <div class="menu-link"> <a href="/pages/helpful_information/" >Helpful Information</a></div> <ul class="menu-list"> <li><a href="/pages/general_information/">General Information</a></li> <li><a href="/pages/for_requestors/">For Requestors</a></li> <li><a href="/pages/for_submitters/">For Submitters</a></li> <li><a href="/pages/instructional_information/">Educational/ Instructional Information</a></li> <li><a href="/data_challenges/">Data Challenges</a></li> <li><a href="/pages/external_links/">External Links</a></li> </ul> </div> <div class="menu-links"> <div class="menu-link"> <a href="/pages/requests/" >Requests</a></div> <ul class="menu-list"> <li><a href="/requests/data-request/general/">Data Request</a></li> <li><a href="/requests/specimen_type/">Specimen Request</a></li> </ul> </div> <div class="menu-links"> <div class="menu-link"> <a href="/pages/about_niddk_cr/" >About NIDDK-CR</a></div> <ul class="menu-list"> <li><a href="/pages/about/">About NIDDK-CR</a></li> <li><a href="/news/">R4R News</a></li> <li><a href="/faq/">Frequently Asked Questions</a></li> <li><a href="/pages/site_map/">Site Navigation Map</a></li> <li><a href="/pages/definitions/">Definitions</a></li> <li><a href="/contact/">Contact the NIDDK-CR</a></li> </ul> </div> </div> </div> </div> <div class="container" style="background-color: transparent; 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