NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)
Closed Posted
- Opportunity number
- PAR-25-238
- Agency
-
National Institutes of Health
Department of Health and Human Services
- Applications due
- Award size
- Up to $250,000
Opportunity facts
- Assistance listings
-
- 93.879 Medical Library Assistance
- Funding instrument
- Grant
- Categories
-
- Education
- Health
- Eligible applicants
-
- City/Township Governments
- County Governments
- Tribal Governments (Federally Recognized)
- For Profit Organizations
- Small Businesses
- 501(c)(3) Nonprofits
- State Governments
- Tribal Organizations (Not Federally Recognized)
- Public or Indian Housing Auth.
- Other
- Special District Governments
- Independent School Districts
- Higher Education Inst. (Public)
- Non-501(c)(3) Nonprofits
- Higher Education Inst. (Private)
- Points of contact
-
- NIH OER Webmaster grantsinfo@nih.gov
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The National Library of Medicine (NLM) is seeking applicants for the "NLM Research Grants in Biomedical Informatics and Data Science (R01 Clinical Trial Optional)" funding opportunity. This grant supports innovative research and development in biomedical informatics and data science, with a focus on data-driven discovery that can be translated into scientific insights, clinical care, public health practices, and personal wellness. The scope emphasizes new and innovative methods for biomedical discovery, data curation, analysis, organization, and management of health-related data, with a goal of fostering scalable, reproducible, and generalizable research outcomes. The funding opportunity is open to a wide range of applicants, including higher education institutions, government entities, small businesses, nonprofits, and tribal organizations. The application deadline is March 5, 2026.
This funding opportunity falls under the Medical Library Assistance federal grant program (CFDA 93.879), which aims to address the growing need for biomedical informatics research and data science investigators. While the exact award values are not specified, recent awards under this program have ranged from approximately $50,000 to over $1.3 million, with typical project durations of 2-5 years. The research is typically performed at the recipient organizations' facilities across the United States, often involving interdisciplinary teams of researchers, clinicians, and data scientists.
Synopsis
2 versions
Update #2 · Latest ·
The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.
Update #1 ·
The National Library of Medicine (NLM) supports innovative research and development in biomedical informatics and data science. This funding opportunity focuses on biomedical discovery and data-powered health, integrating streams of complex and interconnected research outputs that can be translated into scientific insights, clinical care, public health practices, and personal wellness to ensure the research is scalable, reproducible, and generalizable. The scope of NLM's interest in these research domains is broad, with emphasis on new and innovative methods and approaches to foster data driven discovery in the biomedical and clinical health sciences as well as domain-independent, scalable, and reusable approaches to discovery, curation, analysis, organization, and management of health-related data and digital objects.
Files
| File | Type | Posted |
|---|---|---|
| PAR-25-238-Full-Announcement.html | HTML file |
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