R3PEATS Multi-Team Triangulation: Collaborative Cross-Method Approaches to Scientific Discovery (RM1)
Agency: National Institutes of Health
Assistance Listings: 93.310 -- Trans-NIH Research Support
Description
R3PEATS Multi-Team Triangulation supports coordinated teams to investigate a central biomedical research question through complementary methods, model systems, or populations. Projects must identify signal robustness and sources of biological variability while building replication into the research design. This effort is a part of the NIH Common Fund's Rigor, Replicability, & Reproducibility to Promote Excellence, Accuracy, & Translation in Science (R3PEATS) program.
Eligibility
Eligible applicants
Government
- State governments
- Federally recognized Native American tribal governments
- Special district governments
- Public and Indian housing authorities
- County governments
- City or township governments
Business
- Small businesses
- For-profit organizations other than small businesses
Education
- Public and state institutions of higher education
- Independent school districts
- Private institutions of higher education
Nonprofit
- Nonprofits non-higher education with 501(c)(3)
- Nonprofits non-higher education without 501(c)(3)
- Other Native American tribal organizations
Miscellaneous
- Other
Additional information
Grantor contact information
Description
R3PEATS@mail.nih.gov
Documents
No documents are currently available.
Link to additional information
--
Forecasted
Estimated Post Date:
July 1, 2027
Estimated Application Due Date:
October 1, 2027
Estimated Due Date Description:
Not available
Estimated Award Date:
July 1, 2028
Estimated Project Start Date:
July 1, 2028
Fiscal Year:
2028
Award
$5,000,000
Program Funding
5
Expected awards
$--
Award Minimum
$--
Award Maximum
Funding opportunity number:
RFA-RM-28-012
Cost sharing or matching requirement:
Funding instrument type:
Grant
Opportunity Category:
Discretionary
Opportunity Category Explanation:
Category of Funding Activity:
Health
Category Explanation:
History
Version:
1
Forecast posted date:
September 11, 2026
Archive date:
--
