Opportunity

Simpler Grants.gov #RFA-DK-27-124

NIH Seeks Data Coordinating Center for IBD Genetics Consortium

Buyer

National Institutes of Health

Posted

September 18, 2025

Respond By

November 01, 2026

Identifier

RFA-DK-27-124

NAICS

541715

The National Institutes of Health (NIH), through the National Institute of Diabetes and Digestive Diseases and Nutrition (NIDDK), is seeking a Data Coordinating Center (DCC) to support the Inflammatory Bowel Disease Genetics Consortium (IBDGC): - The DCC will coordinate collaborative research among IBDGC Genetic Research Centers - Responsibilities include managing participant enrollment, biospecimen collection and processing - Facilitate external scientific collaborations and pilot projects - Oversee submission of data and samples to central databases and repositories - No specific Original Equipment Manufacturers (OEMs) or commercial vendors are named, as this is a research management and coordination opportunity - Estimated program funding is $1,600,000, with one expected award - Eligible applicants include government, nonprofit, business, educational, tribal, and foreign institutions - Unique requirements: - Expertise in large-scale research coordination, data management, and biospecimen logistics - Ability to support multi-institutional collaborations and ensure compliance with data sharing policies

Description

The National Institute of Diabetes and Digestive Diseases and Nutrition (NIDDK) seeks to continue the IBDGC to advance research on inflammatory bowel disease (IBD). The consortium focuses on genetic risk loci identification, biological mechanisms, and developing predictors of disease outcomes to improve medical management and precision medicine for IBD patients. The Data Coordinating Center will coordinate collaboration among research centers, manage participant enrollment, biospecimen collections, and data submission to central databases. This effort aims to address the chronic and heterogeneous nature of IBD, which currently lacks diagnostic biomarkers and accurate predictors for critical outcomes.

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