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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.
* Note: Studies may fall within more than one research area.
November 14, 2024
The S-index challenge, led by the National Eye Institute (NEI), 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 Challenge.gov to learn more about the challenge, how to enter, eligibility, and cash prizes.
September 25, 2024
The AI in Precision Medicine for Diabetes and Other Chronic Diseases 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: https://nih.zoomgov.com/j/1617468705?pwd=JlqDARcaIBItOmw9bORkRLaCX70And.1
September 25, 2024
The AI in Precision Medicine for Diabetes and Other Chronic Diseases 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: https://nih.zoomgov.com/j/1605069617?pwd=Ibhhv0HU2ZBIzEaldMPoqXyC32TuG8.1
September 25, 2024
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: https://www.niddk.nih.gov/news/meetings-workshops/2024/artificial-intelligence-in-precision-medicine-of-diabetes-2024
August 22, 2024
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 Challenge.gov to learn more about the challenge, how to enter, eligibility, and prizes.
June 26, 2024
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. View the recording from the past webinar .
March 29, 2024
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: https://grants.nih.gov/grants/guide/notice-files/NOT-DK-24-003.html. More details and complete NIDDK-CR Resource Archival and Sharing policy are available under “Helpful Information”- “General Information”: https://repository.niddk.nih.gov/pages/general_information
February 28, 2024
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 ICF Inc. and FI Consulting as the Data Centric Challenge winners. Visit Challenge.gov to read more about the winning solutions: https://www.challenge.gov/?challenge=niddk-central-repository-data-centric-challenge&tab=winners
June 1, 2023
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: https://www.niddk.nih.gov/news/meetings-workshops/2023/central-repository-20th-anniversary-workshop
April 7, 2023
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.
April 7, 2023
As of January 25, 2023, the NIH Policy for Data Management and Sharing (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 Supplemental Information to the NIH DMS Policy. NIH has provided a DMS plan format on the Writing a Data Management and Sharing Plan page on the NIH Scientific Data Sharing website. NIDDK is offering Institute-specific guidance for Writing a DMS Plan and provides NIDDK DMS Tools and Examples.
November 30, 2022
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 the Material Counts page to explore the available resources and start a request.
October 6, 2022
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 (GREI), NIDDK will include NIDDK Central Repository (NIDDK-CR) resources in the Vivli global clinical research data sharing platform. NIDDK-CR’s resources inclusion within Vivli as part of GREI improves discoverability and reuse of NIDDK-CR hosted resources making data more Findable, Accessible, Interoperable, and Reusable (FAIR), increases the scientific value by providing additional opportunities to the NIDDK scientific community, and maximizes the contributions of research participants.
To learn more: contact Dr. Rebecca Rodriguez or visit the Vivli member page.
November 17, 2021
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.
May 6, 2024
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 the NIH grant page
June 5, 2023
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 FAIR principles, 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 the NIH grant page. Submissions are due July 11, 2023.
March 19, 2022
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 the NIH grant page.
October 21, 2020
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 the NIH grant page.
October 29, 2024
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 …
October 7, 2024
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 …
September 20, 2024
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 …
