NIDDK Data Centric Challenge – Announcement Materials
12/2025
NIDDK-CR “Featured News” Homepage Announcement
Title: Upcoming Event: NIDDK Central Repository Data Centric Challenge: Enhancing NIDDK datasets for future AI applications
Body: Using data aggregation, harmonization, fusion, and other data enhancement methods, you can help the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) enhance the utility of NIDDK datasets for AI applications. The goal of the NIDDK Data Centric Challenge will be to generate an “AI-ready” dataset that can be used for future data challenges, and to produce methods that can be used to enhance the AI-readiness of NIDDK data. Participants will enhance data on Type 1 Diabetes available through the NIDDK Central Repository (TEDDY and TrialNet studies). Registration for this challenge closes on 5:00 p.m. EDT on XX/XX/XXXX, and participants will have until 5:00 p.m. EDT on XX/XX/XXXX, to submit their solutions. Check out Challenge.gov to learn more about the challenge, how to enter, eligibility, and prizes: [Link to the Challenge.gov page]
PrecisionFDA Newsletter Announcement (3-5 sentences)
Title: NIDDK Central Repository Data Centric Challenge: Enhancing NIDDK datasets for future AI applications
Body: Using data aggregation, harmonization, fusion, and other data enhancement methods, you can help the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) enhance the utility of NIDDK datasets for AI applications. The goal of the NIDDK Data Centric Challenge will be to generate an “AI-ready” dataset that can be used for future data challenges, using data on Type 1 Diabetes available through the NIDDK Central Repository. Registration for this challenge closes on 5:00 p.m. EDT on XX/XX/XXXX, and participants will have until 5:00 p.m. EDT on XX/XX/XXXX, to submit their solutions.
>> Learn More [Button with hyperlink to the Challenge.gov page]
NIDDK Twitter Announcement (280 characters)
Using data aggregation, harmonization, fusion, and other data enhancement methods, you can help NIDDK enhance the utility of NIDDK datasets for AI applications! Register for the NIDDK-CR Data Centric Challenge by 5:00 p.m. EDT on XX/XX/XXXX: [Link to the Challenge.gov page]
| File Type | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| Author | Choplin, Parker [USA] |
| File Modified | 0000-00-00 |
| File Created | 2026-01-19 |