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card-header"><span>Specimens by Type</span></div><div class="undefined Card_chartBody__GVNRg card-body"><div></div></div></div></div><div class="Homepage_customRow__aDQjF row"><div class="Homepage_section__8bgMd col"><div class="Homepage_resources__HF8Wb"><div class="Homepage_resourcesHeader__2jb6w"><h2>Looking to request resources?</h2>Start by clicking on a request button or watch our <a href="/pages/instructional_materials">Request Tutorial</a> to learn more.</div><div class="Homepage_blogCardContainer__tlHUU Homepage_centered__EZSm8"><div class="Homepage_centered__EZSm8 col-lg-6"><div class="Homepage_blogCard__7ca_s card"><div class="card-body"><div class="Homepage_blogCardContent__M_Pab"><div><div class="Homepage_studyCount__Ns5H0"><span class="Homepage_dataCount__LS_gd">159</span></div><div class="Homepage_studyHeader__Tq0_I">Studies with data available for request</div><div><div class="Homepage_studyContent__E2Xu_">Apply for access to data from one or more studies in NIDDK-CR.</div><a href="/requests/reuse/data-request"><button aria-label="Start a Data Request" class="Button_button__OFOdO Button_auto__peQWd Button_primary__WTwSy a a-primary">Start a Data Request</button></a></div></div><div class="Homepage_list__OLt_l">Available Data Types:<ul><li>Clinical phenotype data</li><li>Clinical lab tests/results</li><li>Genotype/genetic data</li><li>Survey data</li><li>Biospecimen inventory data</li><li>Qualitative data</li><li>Images</li><li>Continuous glucose monitoring</li></ul></div></div></div></div></div><div class="Homepage_centered__EZSm8 col-lg-6"><div class="Homepage_blogCard__7ca_s undefined card"><div class="card-body"><div class="Homepage_blogCardContent__M_Pab"><div><div class="Homepage_studyCount__Ns5H0"><span class="Homepage_specimenCount__p3wle">104</span></div><div class="Homepage_studyHeader__Tq0_I">Studies with specimens available for request</div><div><div class="Homepage_studyContent__E2Xu_">Apply for access to specimens and data from one or more studies in NIDDK-CR.</div><a href="/requests/biospecimen_type"><button aria-label="Start a Specimen Request" class="Button_button__OFOdO Button_auto__peQWd Button_primary__WTwSy a a-primary">Start a Specimen Request</button></a></div></div><div class="Homepage_list__OLt_l">Available Specimen Types:<ul><li>Fluids</li><li>Biological Macromolecules</li><li>Cells</li><li>Tissue</li></ul></div></div></div></div></div></div><div class="Homepage_statsContainer__yahWn Homepage_centered__EZSm8"><div class="Homepage_stat__0CFhh"><svg width="65" height="80" viewBox="0 0 65 80" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M7.5625 10.9375C6.62011 10.9375 6.25164 10.1088 6.19495 8.95612C5.98561 4.69963 10.4207 2.00002 14.6823 2.00002L52.125 2.00002C57.6479 2.00002 62.125 6.47718 62.125 12L62.125 65.4687C62.125 69.8954 59.2272 74.3012 54.8006 74.2671C53.4559 74.2568 52.5448 73.9177 52.8114 72.9313C53.1736 71.5913 53.0328 69.6441 52.9129 68.5791C52.8552 68.0669 52.8094 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Agreement (DUA) template and Material Transfer Agreement (MTA) template language in alignment with NIH’s security practices in addition to clarifying users’ commonly asked questions. Users can expect an updated Security and Non-transferability section to address NIH security policy updates; the MTA has updated the Terms of Agreement and codified standardized use limitations. Check back soon to find links to the updated templates. <br> <br> NIDDK-CR staff compiled several commonly asked DUA questions and updated the FAQs with a new DUA subsection. The FAQs page can be found <a rel="noopener noreferrer" href="https://repository.niddk.nih.gov/faq">here</a>.</div></div><div><h6><a href="/news/277">NIDDK-CR Data Science and Meet the Expert Webinar Series</a></h6><div>Starting in February, NIDDK-CR will be hosting the monthly Data Science and Meet the Expert Webinar Series that aims to accelerate data science and AI-driven biomedical research by fostering collaboration between biomedical researchers and experts in the field. The goals of this webinar series are: <br><br> <ul><li>Goal 1: Enhance understanding of the data science lifecycle, including advanced data use methodologies and AI methods, in support of the NIH data science ecosystem</li> <li>Goal 2: Encourage the generation of new research questions and projects that apply the data science lifecycle and advanced data use methodologies, leveraging data and cloud resources available to the research community from NIH/NIDDK</li></ul> Check out the <a rel="noopener noreferrer" href="https://repository.niddk.nih.gov/pages/webinars">NIDDK-CR Webinar Series</a> page for information on the webinars in the series and how to join.</div></div><div><h6><a href="/news/269">New Features and Enhancements Coming to NIDDK-CR: A Smarter, Sleeker Experience!</a></h6><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><h6><a href="/news/268">Coming Soon! NIH Data Sharing Index (S-index) Challenge</a></h6><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><h6><a href="/news/260">2024 DataWorks! Prize Challenge – Phase 1 now open!</a></h6><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&tab=overview"> Challenge.gov</a> to learn more about the challenge, how to enter, eligibility, and prizes.</div></div><div><h6><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></h6><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><h6><a href="/news/243">New NIDDK Central Repository Policy Released!</a></h6><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><h6><a href="/news/241">NIDDK Central Repository Data Centric Challenge – Winners Announced!</a></h6><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&tab=winners">https://www.challenge.gov/?challenge=niddk-central-. . . </a></div></div><div><h6><a href="/news/216">Ready for use: Study Digital Object Identifiers (DOIs) and citations to increase research visibility</a></h6><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><h6><a href="/news/215">NIH’s New Data Management and Sharing Policy is in effect!</a></h6><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 </div></div><div><h6><a href="/news/217">Updates to the NIDDK-CR Resources for Research (R4R) biospecimen request process are coming soon</a></h6><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><h6><a href="/news/218">NIDDK Central Repository joins Vivli to strengthen and expand the data ecosystem</a></h6><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 . . . </div></div><div><h6><a href="/news/219">NLP-based CDE tagging to improve FAIRness of studies in the NIDDK Central Repository</a></h6><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 class="undefined Card_infoFooter__GFXj1 card-footer"><a href="/news"><button aria-label="See More" class="Button_button__OFOdO Button_auto__peQWd Button_homepage__kyCEa a a-primary">See More<span class="Button_iconRight__TBy6s"><svg width="9" height="15" viewBox="0 0 9 15" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 14L7 7.58025L0.999999 1" stroke="currentColor" stroke-width="2"></path></svg></span></button></a></div></div></div></div><div class="Homepage_Row__XOEs_ row"><div class="col-lg-5 col-md-12"><div class="Homepage_infoCard__mQtAX Card_info__ZXlh_ card"><div style="background-image:url(/images/Pattern5.png)" class="undefined Card_infoHeader__gjqLK card-header"><span>Events</span></div><div class="undefined Card_infoBody__XzyL8 Card_scrollable__BMLpI card-body" style="height:170px"><div class="Homepage_event__7OtHZ"><h6 id="7"><a href="/events#events7">Data Science Fundamentals Webinar, on February 27, 2025, from 3-5 PM EST</a><span> | 02/27/2025 </span></h6><div class="Homepage_newsItem__JFF4g">The <a rel="noopener noreferrer" href="https://repository.niddk.nih.gov/pages/webinars">Data Science and Meet the Expert Webinar Series</a> hosted by NIDDK-CR aims to accelerate data science and AI-driven biomedical research by fostering collaboration between biomedical researchers and experts in the field. The first webinar in this series titled “Data Science Fundamentals” on Thursday, February 27, 2025, from 3-5 PM EST will feature presentations by experts in data science at the Naval Information Warfare Systems Command (NAVWAR) 4.0 Data Science Learning Program. This session is geared towards all researchers wanting a deeper understanding of the data science process and techniques within each step, such as supervised, unsupervised learning techniques, deep learning, and specialized data science topics (including computer vision, natural language processing, and time series). Register here: <a rel="noopener noreferrer" href="https://nih.zoomgov.com/webinar/register/WN_1bHWwk36RQmBa3VgG7M7Bw">https://nih.zoomgov.com/webinar/register/WN_1bHWwk36RQmBa3VgG7M7Bw</a></div></div></div><div class="undefined Card_infoFooter__GFXj1 card-footer"><a href="/events"><button aria-label="See Past Events" class="Button_button__OFOdO Button_auto__peQWd Button_homepage__kyCEa a a-primary">See Past Events<span class="Button_iconRight__TBy6s"><svg width="9" height="15" viewBox="0 0 9 15" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 14L7 7.58025L0.999999 1" stroke="currentColor" stroke-width="2"></path></svg></span></button></a></div></div></div><div class="col-lg-7 col-md-12"><div class="Homepage_infoCard__mQtAX Card_info__ZXlh_ Card_colored__1aflA card"><div style="background-image:url(/images/Pattern5.png)" class="undefined Card_infoHeader__gjqLK card-header"><span>Updates to R4R Resources</span></div><div class="undefined Card_infoBody__XzyL8 Card_scrollable__BMLpI card-body" style="height:170px"><div class="Homepage_event__7OtHZ"><h6><span>01/09/2025 | </span><a href="/study/229">New Study: PUSH-MRE</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease (PUSH-MRE), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease (PUSH-MRE) study was a prospective cross secti. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>12/23/2024 | </span><a href="/study/15">Data Update for CRIC</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for the Chronic Renal Insufficiency Cohort Study (CRIC) study. This update includes updated datasets containing additional follow up. If you have already been approved to receive the CRIC data package, please contact us through your request to download the updated data package. The Chronic Renal Insufficiency Cohort (CRIC) Study is an observational study that examined risk factors for progression of chronic renal insufficiency (CRI) and cardiovascular disease (CVD) . . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>12/12/2024 | </span><a href="/study/24">Data Update for TEDDY</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for The Environmental Determinants of Diabetes in the Young (TEDDY) study. This update includes TEDDY data through the TEDDY 2022 funding period and additional analysis datasets for M38b, M70, M140, and M171. If you have already been approved to receive the TEDDY data package, please contact us through your request to download the updated data package. The TEDDY study is a multicenter prospective cohort study that was established in response to these gaps in unders. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>12/10/2024 | </span><a href="/study/342">New Study: MAPP Twin</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Multidisciplinary Approach to the Study of Pelvic Pain Twin Study (MAPP Twin), has been posted to the NIDDK Central Repository. Data and specimens from this study are now available for request. The Pelvic Pain Twin Study was a small, pilot study conducted at one MAPP Network Discovery site during MAPP Phase I using a unique sample of female, community-based twins from the University of Washington Twin Registry. This effort represented a co-twin control study, with pairs that wer. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>11/27/2024 | </span><a href="/study/102">Data Update for CFLD PUSH</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease (CFLD PUSH). This update includes final study datasets. If you have already been approved to receive the CFLD PUSH data package, please contact us through your request to download the updated data package. The Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease (CFLD PUSH) study was a prospective longitudinal study that aimed to deter. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>10/29/2024 | </span><a href="/study/185">Data Update for TN19</a></h6><div class="Homepage_newsItem__JFF4g">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 package, please contact us through your request to download the updated data package. The TN19 study was a three-arm, 1:1:1 randomized, placebo controlled, double- blinded trial in which participants either received active Anti. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>10/07/2024 | </span><a href="/study/230">New Study: ELASTIC-CF</a></h6><div class="Homepage_newsItem__JFF4g">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 transient elastography with ultrasound would improve the prediction of the development of a nodular liver on ultrasound and development of portal hypertension over time in children and young adults with CF. Study vi. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>09/20/2024 | </span><a href="/study/212">New Study: VIEW</a></h6><div class="Homepage_newsItem__JFF4g">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 bladder health instrument (BHI) items for inclusion in a final bladder health scale (BHS) that assessed the full range of bladder health of women. The study collected data from the general population using mailed surveys, from the clinical popula. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>09/12/2024 | </span><a href="/study/90">New Study: BASIC</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Biliary Atresia Study in Infants and Children (BASIC), has been posted to the NIDDK Central Repository. Analysis data from this study are now available for request as well as three analysis datasets using combined data from the PROBE and BASIC studies. The Biliary Atresia Study in Infants and Children (BASIC) is a prospective, observational study that was established by ChiLDReN to collect pertinent clinical information and biospecimens to aid in the understanding of the disorder. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>08/21/2024 | </span><a href="/study/218">New Study: RADIANT</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Rare and Atypical DIAbetes NeTwork (RADIANT), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The Rare and Atypical DIAbetes NeTwork (RADIANT) is a multicenter prospective cohort study that is dedicated to characterizing (discovering and defining) rare and atypical forms of diabetes. Individuals will be screened for evaluation of suspected atypical diabetes of unknown origin. Among the pool of evaluated individuals, those found. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>08/15/2024 | </span><a href="/study/100">Data Update for LOGIC</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for the Longitudinal Study of Genetic Causes of Intrahepatic Cholestasis (LOGIC) study. This study is part of the Childhood Liver Disease Research Network (ChiLDReN). An additional analysis dataset is now available for request. If you have already been approved to receive the LOGIC data package, please contact us through your request to download the updated data package. The primary objectives of the LOGIC study include determining the frequency of poor growth and d. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>07/17/2024 | </span><a href="/study/99">Data Update for PROBE</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for A Prospective Database of Infants With Cholestasis (PROBE). This update includes an analysis dataset from PROBE. Additionally, this update includes three analysis datasets using combined data from the PROBE, BASIC, and START studies. If you have already been approved to receive the PROBE data package, please contact us through your request to download the updated data package. PROBE is a multi-center project to establish a prospective database of clinical inform. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>07/16/2024 | </span><a href="/study/167">Data Update for CUTIE</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for Careful Urinary Tract Infection Evaluation (CUTIE). This update includes an additional renal scan dataset. If you have already been approved to receive the CUTIE data package, please contact us through your request to download the updated data package. The CUTIE study was an observational study designed to determine why some children develop kidney scars after urinary tract infections (UTIs). The study was aimed at understanding which children were at the greates. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>07/02/2024 | </span><a href="/study/81">Data Update for HALT-C</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for The Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis Trial (HALT-C). This update includes Biopsy Adverse Event data. If you have already been approved to receive the HALT-C data package, please contact us through your request to download the updated data package. The Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis Trial (HALT-C) was a randomized clinical trial of long-term use of peginterferon alfa-2a in participants with chronic hepatitis . . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>06/20/2024 | </span><a href="/study/38">Data Update for DPP</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for Diabetes Prevention Program (DPP). This update includes PFAS (per- and polyfluoroalkyl substances) Secondary data. If you have already been approved to receive the DPP data package, please contact us through your request to download the updated data package. The Diabetes Prevention Program (DPP) is a clinical trial that investigated whether modest weight loss through dietary changes and increased physical activity or treatment with the oral diabetes drug metformi. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>06/20/2024 | </span><a href="/study/40">Data Update for DPPOS</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for Diabetes Prevention Program Outcomes Study (DPPOS). This update includes Phase 3 data and PFAS (per- and polyfluoroalkyl substances) Secondary data. If you have already been approved to receive the DPPOS data package, please contact us through your request to download the updated data package. The Diabetes Prevention Program Outcomes Study (DPPOS) is the long-term follow-up of the original DPP (Diabetes Prevention Program) study. The DPPOS sought to evaluate the . . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>06/04/2024 | </span><a href="/study/24">Data Update for TEDDY</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for The Environmental Determinants of Diabetes in the Young (TEDDY) study. This update includes additional analysis datasets for M199, M208, M233, and M239. If you have already been approved to receive the TEDDY data package, please contact us through your request to download the updated data package. The TEDDY study is a multicenter prospective cohort study that was established in response to these gaps in understanding of type 1 diabetes (T1D). The primary objectiv. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>05/21/2024 | </span><a href="/study/113">Data Update for TN10</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for Anti-CD3 Mab (Teplizumab) for Prevention of Diabetes in Relatives At-Risk for Type 1 Diabetes Mellitus (TN10) study. This update includes additional secondary outcomes analysis datasets. If you have already been approved to receive the TN10 data package, please contact us through your request to download the updated data package. TN10 was a phase 2 prevention trial of TrialNet, studying the effect of teplizumab on insulin production in the relatives of type 1 dia. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>05/09/2024 | </span><a href="/study/98">Data Update for START</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for A Randomized, Double-Blinded, Placebo-Controlled Trial of Corticosteroid Therapy Following Portoenterostomy in Infants with Biliary Atresia (START) study. This update includes an additional vitamin deficiency analysis dataset, and two analysis datasets using combined data from the Prospective Database of Infants with Cholestasis (PROBE) and START studies. If you have already been approved to receive the START data package, please contact us through your request to d. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>05/09/2024 | </span><a href="/study/187">Data Update for FORCE</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for FibroScan in Pediatric Cholestatic Liver Disease (FORCE) study. This update includes an additional biomarkers analysis dataset. If you have already been approved to receive the FORCE data package, please contact us through your request to download the updated data package. The FibroScan in Pediatric Cholestatic Liver Disease (FORCE) study, a natural history study within ChiLDReN, was a cross-sectional and longitudinal assessment of the utility of liver stiffness . . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>04/19/2024 | </span><a href="/study/228">New Study: IMAGINE-II</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Extension Study to Evaluate the Long-Term Safety and Durability of Effect of LUM001 in the Treatment of Cholestatic Liver Disease in Pediatric Subjects with Alagille Syndrome (IMAGINE-II), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The IMAGINE-II study was a multicenter, extension study of LUM001 in children diagnosed with Alagille syndrome (ALGS) who had completed participation in a core LUM001 treatment protocol (ITCH st. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>04/19/2024 | </span><a href="/study/227">New Study: PRIME</a></h6><div class="Homepage_newsItem__JFF4g">A new study, A Phase I/IIa Trial of Intravenous Immunoglobulin (IVIG) Therapy Following Portoenterostomy in Infants with Biliary Atresia (PRIME), has been posted to the NIDDK Central Repository. Data from this study are now available for request. The PRIME study was a multicenter prospective phase I/IIa open label trial, aimed at assessing the feasibility, tolerability, and safety of intravenous immunoglobulin (IVIG) therapy following hepatic portoenterostomy (HPE) in infants with biliary atr. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>04/02/2024 | </span><a href="/study/89">New Study: NAFLD Pediatric Database 2</a></h6><div class="Homepage_newsItem__JFF4g">A new study, Nonalcoholic Fatty Liver Disease Pediatric Database 2 (NAFLD Pediatric Database 2), has been posted to the NIDDK Central Repository. Data and biospecimens from this study are now available for request. The Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) was initiated in 2002 to conduct multicenter, collaborative studies on the etiology, contributing factors, natural history, complications, and treatment of NASH. The Nonalcoholic Fatty Liver Disease Pediatric Dat. . . </div></div><div class="Homepage_event__7OtHZ"><h6><span>03/20/2024 | </span><a href="/study/53">Data Update for Teen-LABS</a></h6><div class="Homepage_newsItem__JFF4g">Data have been updated for the Adolescent Bariatrics: Assessing Health Benefits & Risks (Teen-LABS) study. This update includes data through the end of the study and additional analysis datasets. If you have already been approved to receive the Teen-LABS, please contact us through your request to download the updated data package. Teen-LABS conducted coordinated clinical, epidemiological, and behavioral research focused on adolescent bariatric surgery. The study developed common clinical p. . . </div></div></div><div class="undefined Card_infoFooter__GFXj1 card-footer"><a href="/updates"><button aria-label="See More" class="Button_button__OFOdO Button_auto__peQWd Button_homepage__kyCEa a a-primary">See More<span class="Button_iconRight__TBy6s"><svg width="9" height="15" viewBox="0 0 9 15" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M1 14L7 7.58025L0.999999 1" stroke="currentColor" stroke-width="2"></path></svg></span></button></a></div></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="/search/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/webinars">Webinars</a><a href="/pages/instructional_materials">Educational/Instructional Information</a><a href="/pages/data_challenges">Data Challenges</a><a href="/pages/external_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="/contact">Contact the NIDDK-CR</a></div></div></div></div><div class="Footer_affiliationsBanner__t2vTP"><div class="container"><div class="row"><div class="Footer_affiliationsContainer__SV45Q"><div class="Footer_ctsContainer__dnT05"><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 class="Footer_wdsContainer__e36uM"><a href="https://worlddatasystem.org/" target="_blank" rel="noopener noreferrer"><img src="/images/wds_logoOG.png" class="Footer_wdsLogo__SOsMl" alt="World Data System Logo"/></a></div></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. 02.1.2</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></div></footer></div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"updates":[{"id":276,"title":"New Study: PUSH-MRE","content":"A new study, Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease (PUSH-MRE), has been posted to the NIDDK Central Repository. Data from this study are now available for request. \r\n\r\nThe Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease (PUSH-MRE) study was a prospective cross sectional ancillary study of children and adolescents with cystic fibrosis enrolled in the Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease (CFLD PUSH) study. PUSH-MRE sought to determine the feasibility of MRI and magnetic resonance elastography (MRE) to predict the development of advanced liver disease in children and adolescents with CF.","publishedDate":"2025-01-09T19:33:11Z","associatedEntityId":229,"associatedEntityName":"Analysis of Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Cohort Using Advanced MRI to Characterize and Predict CF Liver Disease","associatedEntityAcronym":"PUSH-MRE","associatedEntityIsNetwork":false},{"id":275,"title":"Data Update for CRIC","content":"Data have been updated for the Chronic Renal Insufficiency Cohort Study (CRIC) study. This update includes updated datasets containing additional follow up.\r\n\r\nIf you have already been approved to receive the CRIC data package, please contact us through your request to download the updated data package. \r\n\r\nThe Chronic Renal Insufficiency Cohort (CRIC) Study is an observational study that examined risk factors for progression of chronic renal insufficiency (CRI) and cardiovascular disease (CVD) among CRI patients. The study enrolled adults aged 21 to 74 years with a broad spectrum of renal disease severity, half of whom were diagnosed with diabetes mellitus. Subjects underwent extensive clinical evaluation at baseline and at annual clinic visits and via telephone at 6 month intervals.","publishedDate":"2024-12-23T17:00:00Z","associatedEntityId":15,"associatedEntityName":"Chronic Renal Insufficiency Cohort Study","associatedEntityAcronym":"CRIC","associatedEntityIsNetwork":false},{"id":273,"title":"Data Update for TEDDY","content":"Data have been updated for The Environmental Determinants of Diabetes in the Young (TEDDY) study. This update includes TEDDY data through the TEDDY 2022 funding period and additional analysis datasets for M38b, M70, M140, and M171. \r\n\r\nIf you have already been approved to receive the TEDDY data package, please contact us through your request to download the updated data package. \r\n\r\nThe TEDDY study is a multicenter prospective cohort study that was established in response to these gaps in understanding of type 1 diabetes (T1D). The primary objectives of the study include identifying environmental factors—such as infectious agents, dietary factors, and psychosocial factors—that trigger or protect against the development of islet autoimmunity and T1D and examining genetic-environmental interactions to investigate interactive effects that contribute to T1D.","publishedDate":"2024-12-12T14:51:21Z","associatedEntityId":24,"associatedEntityName":"The Environmental Determinants of Diabetes in the Young","associatedEntityAcronym":"TEDDY","associatedEntityIsNetwork":false},{"id":272,"title":"New Study: MAPP Twin","content":"A new study, Multidisciplinary Approach to the Study of Pelvic Pain Twin Study (MAPP Twin), has been posted to the NIDDK Central Repository. Data and specimens from this study are now available for request. \r\n\r\nThe Pelvic Pain Twin Study was a small, pilot study conducted at one MAPP Network Discovery site during MAPP Phase I using a unique sample of female, community-based twins from the University of Washington Twin Registry. This effort represented a co-twin control study, with pairs that were discordant for IC/PBS and was designed to identify IC/PBS phenotypes, characterize pathological and physiological associations with IC/PBS, and describe the relationship between IC/PBS and related chronic overlapping pain conditions (COPCs).","publishedDate":"2024-12-10T15:34:11Z","associatedEntityId":342,"associatedEntityName":"Multidisciplinary Approach to the Study of Pelvic Pain Twin Study","associatedEntityAcronym":"MAPP Twin","associatedEntityIsNetwork":false},{"id":271,"title":"Data Update for CFLD PUSH","content":"Data have been updated for Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease (CFLD PUSH). This update includes final study datasets. \r\n\r\nIf you have already been approved to receive the CFLD PUSH data package, please contact us through your request to download the updated data package.\r\n\r\nThe Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease (CFLD PUSH) study was a prospective longitudinal study that aimed to determine the utility of abdominal ultrasound to predict the development of cirrhosis in participants with cystic fibrosis as indicated by a nodular liver on ultrasound.","publishedDate":"2024-11-27T21:56:47Z","associatedEntityId":102,"associatedEntityName":"Prediction by Ultrasound of the Risk of Hepatic Cirrhosis in Cystic Fibrosis Liver Disease","associatedEntityAcronym":"CFLD PUSH","associatedEntityIsNetwork":false},{"id":267,"title":"Data Update for TN19","content":"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.\r\n\r\nIf you have already been approved to receive the TN19 data package, please contact us through your request to download the updated data package.\r\n\r\nThe TN19 study was a three-arm, 1:1:1 randomized, placebo controlled, double- blinded trial in which participants either received active Anti-Thymocyte Globulin (ATG) and Granulocyte Colony Stimulating Factor (GCSF), received ATG alone, or received a placebo alone within 100 days from diagnosis of T1D. TrialNet researchers assessed whether ATG used alone or in combination with GCSF helped participants continue to make some of their own insulin.","publishedDate":"2024-10-29T15:33:35Z","associatedEntityId":185,"associatedEntityName":"Antithymocyte Globulin (ATG) and Pegylated Granulocyte Colony Stimulating Factor (GCSF) in New Onset Type 1 Diabetes","associatedEntityAcronym":"TN19","associatedEntityIsNetwork":false},{"id":266,"title":"New Study: ELASTIC-CF","content":"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.\r\n\r\nThe ELASTIC-CF study assessed if combining FibroScan® measurement of liver stiffness transient elastography with ultrasound would improve the prediction of the development of a nodular liver on ultrasound and development of portal hypertension over time in children and young adults with CF. Study visits occurred at baseline and for at least two annual follow-up visits.","publishedDate":"2024-10-07T20:11:45Z","associatedEntityId":230,"associatedEntityName":"Longitudinal Assessment of Transient Elastography in Cystic Fibrosis","associatedEntityAcronym":"ELASTIC-CF","associatedEntityIsNetwork":false},{"id":262,"title":"New Study: VIEW","content":"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.\r\n\r\nThe VIEW study prospectively collected data to test and validate bladder health instrument (BHI) items for inclusion in a final bladder health scale (BHS) that assessed the full range of bladder health of women. The study collected data from the general population using mailed surveys, from the clinical population using surveys and in-person evaluations, and from postpartum women.","publishedDate":"2024-09-20T14:18:03Z","associatedEntityId":212,"associatedEntityName":"Validation of Bladder Health Instrument for Evaluation in Women","associatedEntityAcronym":"VIEW","associatedEntityIsNetwork":false},{"id":261,"title":"New Study: BASIC","content":"A new study, Biliary Atresia Study in Infants and Children (BASIC), has been posted to the NIDDK Central Repository. Analysis data from this study are now available for request as well as three analysis datasets using combined data from the PROBE and BASIC studies.\r\n\r\nThe Biliary Atresia Study in Infants and Children (BASIC) is a prospective, observational study that was established by ChiLDReN to collect pertinent clinical information and biospecimens to aid in the understanding of the disorder. Specific aims of the study include identifying the gene(s) implicated in the etiology of biliary atresia, identifying the polymorphisms that may influence disease progression, and characterizing the natural history of the older, non-transplanted patients with biliary atresia.","publishedDate":"2024-09-12T20:24:33Z","associatedEntityId":90,"associatedEntityName":"Biliary Atresia Study in Infants and Children","associatedEntityAcronym":"BASIC","associatedEntityIsNetwork":false},{"id":259,"title":"New Study: RADIANT","content":"A new study, Rare and Atypical DIAbetes NeTwork (RADIANT), has been posted to the NIDDK Central Repository. Data from this study are now available for request.\r\n\r\nThe Rare and Atypical DIAbetes NeTwork (RADIANT) is a multicenter prospective cohort study that is dedicated to characterizing (discovering and defining) rare and atypical forms of diabetes. Individuals will be screened for evaluation of suspected atypical diabetes of unknown origin. Among the pool of evaluated individuals, those found to have a known form of diabetes will be excluded from further study. The remaining participants will be prioritized for genetic/genomic analysis and further testing.","publishedDate":"2024-08-21T17:42:09Z","associatedEntityId":218,"associatedEntityName":"Rare and Atypical Diabetes Network","associatedEntityAcronym":"RADIANT","associatedEntityIsNetwork":false},{"id":258,"title":"Data Update for LOGIC","content":"Data have been updated for the Longitudinal Study of Genetic Causes of Intrahepatic Cholestasis (LOGIC) study. This study is part of the Childhood Liver Disease Research Network (ChiLDReN). An additional analysis dataset is now available for request.\r\n\r\nIf you have already been approved to receive the LOGIC data package, please contact us through your request to download the updated data package. \r\n\r\nThe primary objectives of the LOGIC study include determining the frequency of poor growth and decreased bone mineral density and its predictors; identifying modifier genes that influence the incidence, severity, and progression of liver disease among affected individuals; and developing a repository of biospecimens to be used in ancillary studies of predictor biomarkers.","publishedDate":"2024-08-15T13:49:00Z","associatedEntityId":100,"associatedEntityName":"Longitudinal Study of Genetic Causes of Intrahepatic Cholestasis","associatedEntityAcronym":"LOGIC","associatedEntityIsNetwork":false},{"id":257,"title":"Data Update for PROBE","content":"Data have been updated for A Prospective Database of Infants With Cholestasis (PROBE). This update includes an analysis dataset from PROBE. Additionally, this update includes three analysis datasets using combined data from the PROBE, BASIC, and START studies.\r\n\r\nIf you have already been approved to receive the PROBE data package, please contact us through your request to download the updated data package.\r\n\r\nPROBE is a multi-center project to establish a prospective database of clinical information and a repository of blood and tissue samples from children with diagnoses of neonatal liver diseases, such as biliary atresia and neonatal hepatitis in order to perform research in these liver problems.","publishedDate":"2024-07-17T20:44:15Z","associatedEntityId":99,"associatedEntityName":"A Prospective Database of Infants With Cholestasis","associatedEntityAcronym":"PROBE","associatedEntityIsNetwork":false},{"id":256,"title":"Data Update for CUTIE","content":"Data have been updated for Careful Urinary Tract Infection Evaluation (CUTIE). This update includes an additional renal scan dataset.\r\n\r\nIf you have already been approved to receive the CUTIE data package, please contact us through your request to download the updated data package.\r\n\r\nThe CUTIE study was an observational study designed to determine why some children develop kidney scars after urinary tract infections (UTIs). The study was aimed at understanding which children were at the greatest risk of developing renal scarring following a UTI, so physicians can provide targeted therapies and appropriate interventions.","publishedDate":"2024-07-16T15:03:34Z","associatedEntityId":167,"associatedEntityName":"Careful Urinary Tract Infection Evaluation","associatedEntityAcronym":"CUTIE","associatedEntityIsNetwork":false},{"id":255,"title":"Data Update for HALT-C","content":"Data have been updated for The Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis Trial (HALT-C). This update includes Biopsy Adverse Event data.\r\n\r\nIf you have already been approved to receive the HALT-C data package, please contact us through your request to download the updated data package.\r\n\r\nThe Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis Trial (HALT-C) was a randomized clinical trial of long-term use of peginterferon alfa-2a in participants with chronic hepatitis C. The study investigated whether long-term antiviral therapy could prevent progressive liver disease—including cirrhosis, liver failure, hepatocellular carcinoma, and death—in chronic hepatitis C participants.","publishedDate":"2024-07-02T16:06:41Z","associatedEntityId":81,"associatedEntityName":"The Hepatitis C Antiviral Long-Term Treatment Against Cirrhosis Trial","associatedEntityAcronym":"HALT-C","associatedEntityIsNetwork":false},{"id":254,"title":"Data Update for DPP","content":"Data have been updated for Diabetes Prevention Program (DPP). This update includes PFAS (per- and polyfluoroalkyl substances) Secondary data.\r\n\r\nIf you have already been approved to receive the DPP data package, please contact us through your request to download the updated data package.\r\n\r\nThe Diabetes Prevention Program (DPP) is a clinical trial that investigated whether modest weight loss through dietary changes and increased physical activity or treatment with the oral diabetes drug metformin (Glucophage) could prevent or delay the onset of type 2 diabetes in high risk individuals with prediabetes.","publishedDate":"2024-06-20T19:45:20Z","associatedEntityId":38,"associatedEntityName":"Diabetes Prevention Program","associatedEntityAcronym":"DPP","associatedEntityIsNetwork":false},{"id":253,"title":"Data Update for DPPOS","content":"Data have been updated for Diabetes Prevention Program Outcomes Study (DPPOS). This update includes Phase 3 data and PFAS (per- and polyfluoroalkyl substances) Secondary data.\r\n\r\nIf you have already been approved to receive the DPPOS data package, please contact us through your request to download the updated data package.\r\n\r\nThe Diabetes Prevention Program Outcomes Study (DPPOS) is the long-term follow-up of the original DPP (Diabetes Prevention Program) study. The DPPOS sought to evaluate the effects of the interventions on the further development of diabetes and diabetes complications, including retinopathy, microangiopathy, and cardiovascular disease.","publishedDate":"2024-06-20T19:44:24Z","associatedEntityId":40,"associatedEntityName":"Diabetes Prevention Program Outcomes Study","associatedEntityAcronym":"DPPOS","associatedEntityIsNetwork":false},{"id":252,"title":"Data Update for TEDDY","content":"Data have been updated for The Environmental Determinants of Diabetes in the Young (TEDDY) study. This update includes additional analysis datasets for M199, M208, M233, and M239.\r\n\r\nIf you have already been approved to receive the TEDDY data package, please contact us through your request to download the updated data package.\r\n\r\nThe TEDDY study is a multicenter prospective cohort study that was established in response to these gaps in understanding of type 1 diabetes (T1D). The primary objectives of the study include identifying environmental factors—such as infectious agents, dietary factors, and psychosocial factors—that trigger or protect against the development of islet autoimmunity and T1D and examining genetic-environmental interactions to investigate interactive effects that contribute to T1D.","publishedDate":"2024-06-04T16:35:45Z","associatedEntityId":24,"associatedEntityName":"The Environmental Determinants of Diabetes in the Young","associatedEntityAcronym":"TEDDY","associatedEntityIsNetwork":false},{"id":251,"title":"Data Update for TN10","content":"Data have been updated for Anti-CD3 Mab (Teplizumab) for Prevention of Diabetes in Relatives At-Risk for Type 1 Diabetes Mellitus (TN10) study. This update includes additional secondary outcomes analysis datasets.\r\n\r\nIf you have already been approved to receive the TN10 data package, please contact us through your request to download the updated data package.\r\n\r\nTN10 was a phase 2 prevention trial of TrialNet, studying the effect of teplizumab on insulin production in the relatives of type 1 diabetics who were at high risk of developing the disease. Participants were randomly assigned to either the active or placebo group of the study and monitored and tested over time until diagnosed with diabetes.","publishedDate":"2024-05-21T13:45:52Z","associatedEntityId":113,"associatedEntityName":"Anti-CD3 Mab (Teplizumab) for Prevention of Diabetes in Relatives At-Risk for Type 1 Diabetes Mellitus","associatedEntityAcronym":"TN10","associatedEntityIsNetwork":false},{"id":250,"title":"Data Update for START","content":"Data have been updated for A Randomized, Double-Blinded, Placebo-Controlled Trial of Corticosteroid Therapy Following Portoenterostomy in Infants with Biliary Atresia (START) study. This update includes an additional vitamin deficiency analysis dataset, and two analysis datasets using combined data from the Prospective Database of Infants with Cholestasis (PROBE) and START studies.\r\n\r\nIf you have already been approved to receive the START data package, please contact us through your request to download the updated data package.\r\n\r\nThe START study participants were recruited from the PROBE study and randomized into either the corticosteroid or placebo group within 72 hours after the portoenterostomy procedure. Participants were given their assigned treatments daily over the course of 13 weeks. After the treatment period, participants underwent follow-up testing and assessments until age 24 months.","publishedDate":"2024-05-09T21:08:41Z","associatedEntityId":98,"associatedEntityName":"A Randomized, Double-Blinded, Placebo-Controlled Trial of Corticosteroid Therapy Following Portoenterostomy in Infants with Biliary Atresia","associatedEntityAcronym":"START","associatedEntityIsNetwork":false},{"id":249,"title":"Data Update for FORCE","content":"Data have been updated for FibroScan in Pediatric Cholestatic Liver Disease (FORCE) study. This update includes an additional biomarkers analysis dataset.\r\n\r\nIf you have already been approved to receive the FORCE data package, please contact us through your request to download the updated data package.\r\n\r\nThe FibroScan in Pediatric Cholestatic Liver Disease (FORCE) study, a natural history study within ChiLDReN, was a cross-sectional and longitudinal assessment of the utility of liver stiffness measurement (LSM) in children with chronic cholestatic liver disease.","publishedDate":"2024-05-09T20:05:40Z","associatedEntityId":187,"associatedEntityName":"FibroScan in Pediatric Cholestatic Liver Disease","associatedEntityAcronym":"FORCE","associatedEntityIsNetwork":false},{"id":246,"title":"New Study: IMAGINE-II","content":"A new study, Extension Study to Evaluate the Long-Term Safety and Durability of Effect of LUM001 in the Treatment of Cholestatic Liver Disease in Pediatric Subjects with Alagille Syndrome (IMAGINE-II), has been posted to the NIDDK Central Repository. Data from this study are now available for request.\r\n\r\nThe IMAGINE-II study was a multicenter, extension study of LUM001 in children diagnosed with Alagille syndrome (ALGS) who had completed participation in a core LUM001 treatment protocol (ITCH study). Efficacy was assessed by evaluating the effect of LUM001 on the biochemical markers and pruritus associated with ALGS.","publishedDate":"2024-04-19T20:23:11Z","associatedEntityId":228,"associatedEntityName":"Extension Study to Evaluate the Long-Term Safety and Durability of Effect of LUM001 in the Treatment of Cholestatic Liver Disease in Pediatric Subjects with Alagille Syndrome","associatedEntityAcronym":"IMAGINE-II","associatedEntityIsNetwork":false},{"id":245,"title":"New Study: PRIME","content":"A new study, A Phase I/IIa Trial of Intravenous Immunoglobulin (IVIG) Therapy Following Portoenterostomy in Infants with Biliary Atresia (PRIME), has been posted to the NIDDK Central Repository. Data from this study are now available for request.\r\n\r\nThe PRIME study was a multicenter prospective phase I/IIa open label trial, aimed at assessing the feasibility, tolerability, and safety of intravenous immunoglobulin (IVIG) therapy following hepatic portoenterostomy (HPE) in infants with biliary atresia (BA).","publishedDate":"2024-04-19T16:28:33Z","associatedEntityId":227,"associatedEntityName":"A Phase I/IIa Trial of Intravenous Immunoglobulin (IVIG) Therapy Following Portoenterostomy in Infants with Biliary Atresia","associatedEntityAcronym":"PRIME","associatedEntityIsNetwork":false},{"id":244,"title":"New Study: NAFLD Pediatric Database 2","content":"A new study, Nonalcoholic Fatty Liver Disease Pediatric Database 2 (NAFLD Pediatric Database 2), has been posted to the NIDDK Central Repository. Data and biospecimens from this study are now available for request.\r\n\r\nThe Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) was initiated in 2002 to conduct multicenter, collaborative studies on the etiology, contributing factors, natural history, complications, and treatment of NASH. The Nonalcoholic Fatty Liver Disease Pediatric Database 2 (NAFLD Pediatric Database 2) continued the longitudinal follow-up of participants enrolled in earlier NASH CRN studies and recruited new participants with recent liver biopsies.","publishedDate":"2024-04-02T16:57:18Z","associatedEntityId":89,"associatedEntityName":"Nonalcoholic Fatty Liver Disease Pediatric Database 2","associatedEntityAcronym":"NAFLD Pediatric Database 2","associatedEntityIsNetwork":false},{"id":242,"title":"Data Update for Teen-LABS","content":"Data have been updated for the Adolescent Bariatrics: Assessing Health Benefits \u0026 Risks (Teen-LABS) study. This update includes data through the end of the study and additional analysis datasets.\r\n\r\nIf you have already been approved to receive the Teen-LABS, please contact us through your request to download the updated data package.\r\n\r\nTeen-LABS conducted coordinated clinical, epidemiological, and behavioral research focused on adolescent bariatric surgery. The study developed common clinical protocols and a bariatric surgery database for the purpose of collecting information from participating clinical centers that performed bariatric surgery on teenagers.","publishedDate":"2024-03-20T18:15:53Z","associatedEntityId":53,"associatedEntityName":"Adolescent Bariatrics: Assessing Health Benefits \u0026 Risks","associatedEntityAcronym":"Teen-LABS","associatedEntityIsNetwork":false}],"news":[{"id":278,"title":"Maximizing transparency: NIDDK-CR DUA, MTA, \u0026 FAQs Updates Coming Soon!","content":"NIDDK-CR is in the process of updating the Data and Resources Use Agreement (DUA) template and Material Transfer Agreement (MTA) template language in alignment with NIH’s security practices in addition to clarifying users’ commonly asked questions. Users can expect an updated Security and Non-transferability section to address NIH security policy updates; the MTA has updated the Terms of Agreement and codified standardized use limitations. Check back soon to find links to the updated templates.\r\n\u003cbr\u003e\r\n\u003cbr\u003e\r\nNIDDK-CR staff compiled several commonly asked DUA questions and updated the FAQs with a new DUA subsection. The FAQs page can be found \u003ca href= \"https://repository.niddk.nih.gov/faq\" target = \"_blank\" rel = \"noopener noreferrer\"\u003ehere\u003c/a\u003e.","publishedDate":"2025-01-16T19:10:43Z"},{"id":277,"title":"NIDDK-CR Data Science and Meet the Expert Webinar Series","content":"Starting in February, NIDDK-CR will be hosting the monthly Data Science and Meet the Expert Webinar Series that aims to accelerate data science and AI-driven biomedical research by fostering collaboration between biomedical researchers and experts in the field. The goals of this webinar series are:\r\n\u003cbr\u003e\u003cbr\u003e\r\n\u003cul\u003e\u003cli\u003eGoal 1: Enhance understanding of the data science lifecycle, including advanced data use methodologies and AI methods, in support of the NIH data science ecosystem\u003c/li\u003e\r\n\u003cli\u003eGoal 2: Encourage the generation of new research questions and projects that apply the data science lifecycle and advanced data use methodologies, leveraging data and cloud resources available to the research community from NIH/NIDDK\u003c/li\u003e\u003c/ul\u003e\r\n\r\nCheck out the \u003ca href= \"https://repository.niddk.nih.gov/pages/webinars\" target = \"_blank\" rel=\"noopener noreferrer\"\u003eNIDDK-CR Webinar Series\u003c/a\u003e page for information on the webinars in the series and how to join.","publishedDate":"2025-01-13T22:14:37Z"},{"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"}],"events":[{"id":7,"title":"Data Science Fundamentals Webinar, on February 27, 2025, from 3-5 PM EST","content":"The \u003ca href= \"https://repository.niddk.nih.gov/pages/webinars\" target = \"_blank\" rel=\"noopener noreferrer\"\u003eData Science and Meet the Expert Webinar Series\u003c/a\u003e hosted by NIDDK-CR aims to accelerate data science and AI-driven biomedical research by fostering collaboration between biomedical researchers and experts in the field. The first webinar in this series titled “Data Science Fundamentals” on Thursday, February 27, 2025, from 3-5 PM EST will feature presentations by experts in data science at the Naval Information Warfare Systems Command (NAVWAR) 4.0 Data Science Learning Program. This session is geared towards all researchers wanting a deeper understanding of the data science process and techniques within each step, such as supervised, unsupervised learning techniques, deep learning, and specialized data science topics (including computer vision, natural language processing, and time series). 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