The NIDDK Inflammatory Bowel Disease Genetics Consortium (IBDGC) Data Coordinating Center
🏛 National Institutes of Health (HHS-NIH11)
✓ Free, no account · Source: Grants.gov · Last verified Jul 16, 2026
Can you apply?
This grant is for researchers and research institutions supporting data coordination for inflammatory bowel disease (IBD) genetics studies through NIDDK. Eligible applicants typically include academic medical centers, research universities, and nonprofit research organizations with established research infrastructure. The grant funds data management, analysis infrastructure, and coordinating activities for multi-site IBD genetics research consortia. Only U.S.-based institutions and organizations meeting NIH eligibility requirements may apply.
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Key dates
- Sep 18, 2025 Applications open
- Nov 1, 2026 Application deadline in 107 days
- Jul 1, 2027 Award announced
- Jul 1, 2027 Project start
Program description
The National Institute of Diabetes and Digestive Diseases and Nutrition (NIDDK) seeks to advance its mission by continuing the NIDDK Inflammatory Bowel Disease Genetics Consortium (IBDGC). The IBDGC has led collaborative efforts resulting in the identification of >300 genetic risk loci for different IBD subtypes across patient populations and characterization of underlying biological mechanisms. Despite advances in biological understanding and the development of a range of biologic therapies, IBD remains a chronic, severe and heterogenous disease with no cure requiring multiple interventions over the life course. Diagnostic biomarkers and accurate predictors of critical outcomes including disease remission, recurrence, and response to specific therapies are lacking. The IBDGC will leverage patient cohorts, biospecimens and advances in data science to characterize the interactions of genetic, clinical and environmental factors in disease development and progression, and to develop new predictors of disease outcomes, with the goal of improving medical management and advancing precision medicine for IBD patients. The Data Coordinating Center (DCC) of the IBDGC will coordinate collaboration among IBDGC Genetic Research Centers (described in the companion notice), external scientific collaborations and pilot projects, participant enrollment, biospecimen collections and processing, and manage the submission of data and samples to central databases and repositories.
Who can apply
Eligible applicants
How to apply
Application links
Key dates & requirements
Required documents
- SF-424 (R&R) form
- Project Narrative/Research Plan
- Detailed Budget and Budget Narrative
- Current and Pending Support documentation
- Biosketches of key personnel
- Letters of Commitment from participating consortium sites
- Data Management Plan
- Organizational charts and governance documentation
Program contact
- 👤 Ludmila Pawlikowska Ph.D.
- 📧 Ludmila.pawlikowska@nih.gov
- 📞 301-480-9372
Funding track record
Recent awards under CFDA 93.847 from the last 3 years — real organizations that won funding through this same program.
Top 10 Largest Recent Awards
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$438,527,853
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$200,221,259
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$152,979,352
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$112,529,392
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$66,521,567
-
$45,186,589
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$39,699,167
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$37,490,770
-
$34,242,949
-
$31,624,784
Top States by Funding
- WA 3 awards $492.3M
- NC 4 awards $291.6M
- FL 2 awards $184.1M
- MA 6 awards $168.4M
- PA 6 awards $168.1M
Source: USAspending.gov — federal spending transparency. Data covers last 3 years.
Funding history
Annual funding for this program — Federal obligations (CFDA 93.847). How funding has trended year over year.
| 2024 | $1,971,472,000 | |
| 2025 | $2,043,166,000 | |
| 2026 est. | $111,289,000 |
FAQ
Who is eligible to apply for this grant?
Academic institutions, research universities, and nonprofit research organizations with strong research infrastructure and IBD genetics expertise typically qualify. Your institution must meet standard NIH eligibility requirements and have demonstrated capacity to manage large research datasets.
What activities does this funding support?
Funding supports data coordination, database management, statistical analysis infrastructure, and administrative functions for multi-site IBD genetics research. Travel for consortium meetings and software development for data systems are typically covered.
How competitive is this funding?
NIDDK grants are highly competitive. Strong applications demonstrate clear scientific importance, experienced management teams, and detailed budget justification. Prior consortium experience and established relationships with participating sites strengthen competitiveness.
What is the typical funding level?
NIDDK data coordinating center grants vary widely depending on consortium scope and complexity. Budget typically reflects costs for staff, database systems, and operational expenses across the funding period.
When are applications typically reviewed?
NIH follows standard review timelines with multiple funding cycles annually. Initial review occurs within 3-4 months of the deadline, with funding decisions typically made within 6-8 months.
💡 Tips for applicants
- Clearly describe your data management infrastructure and prior experience with large research databases and consortia coordination.
- Include letters of commitment from all participating research sites confirming their participation and data contribution plans.
- Develop detailed, realistic budgets showing personnel costs, software licensing, server infrastructure, and contingency planning for data growth.
- Propose rigorous data quality control procedures, security protocols, and compliance with relevant data privacy regulations like HIPAA.
- Demonstrate strong organizational structure with clear roles, communication plans, and contingency plans for leadership transitions or site withdrawals.
⚠️ Common mistakes
Applications lack detailed data management plans or underestimate infrastructure costs for long-term database maintenance. Weak letters of commitment from participating sites or unclear governance structures reduce competitiveness. Insufficient detail on quality control, data security, or regulatory compliance procedures leads to reviewer concerns.
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