Funder: National Institutes of Health
Due Dates: May 15, 2025 (New) | June 13, 2025 (Renewal/Resubmission/Revision) | August 15, 2025 (AIDS) | September 15, 2025 (New) | October 15, 2025 (Renewal/Resubmission/Revision) | December 15, 2025 (AIDS) | January 15, 2026 (New) | February 13, 2026 (Renewal/Resubmission/Revision) | April 15, 2026 (AIDS) | May 15, 2026 (New) | June 15, 2026 (Renewal/Resubmission/Revision) | August 14, 2026 (AIDS) | September 15, 2026 (New) | October 15, 2026 (Renewal/Resubmission/Revision) | December 15, 2026 (AIDS) | January 15, 2027 (New) | February 17, 2027 (Renewal/Resubmission/Revision) | April 15, 2027 (AIDS)
Funding Amounts: Up to $250,000 direct costs per year (max 4 years); actual budget must reflect project needs.
Summary: Supports innovative computational methods to automate and scale curation of biomedical research data assets, enabling rapid access to high-quality datasets and models.
Key Information: Clinical trials are not allowed; projects must focus on computational, at-scale curation of biomedically relevant digital assets and result in open-access datasets or tools.
This opportunity, offered by the National Library of Medicine (NLM) at NIH, funds research to develop, test, and disseminate computational approaches for curation at scale of biomedical research assets. The goal is to accelerate access to secure, complete, and well-curated datasets and computational models that underpin transformative biomedical discoveries. The program specifically seeks innovative, automated, and scalable computational methods that improve the speed, quality, and scope of curation processes for a wide range of biomedical digital assets.
Projects must focus on automating curation, annotation, integration, and management of digital biomedical assets, supporting FAIR (Findable, Accessible, Interoperable, Reusable) data principles. The resulting datasets, models, or tools should be openly accessible and broadly useful to the biomedical research community.
Manual curation projects, projects not focused on biomedical data, or those duplicating existing NLM products are not eligible. Clinical trials are not permitted under this funding opportunity.
All applications are due by 5:00 PM local time of the applicant organization.
The number of awards is contingent on NIH appropriations and the submission of a sufficient number of meritorious applications.
Eligible organizations include:
Not eligible: Non-domestic (non-U.S.) entities and non-domestic components of U.S. organizations.
Individuals: Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as PD/PI may apply.
Projects must focus on computational, automated, and scalable curation of biomedical digital assets, such as:
Examples of responsive topics:
Non-responsive projects include:
All products must be open access and widely disseminated.
| Contact Type | Name/Email | Phone |
|---|---|---|
| Scientific/Research Contact | Catherine Farrell, PhD catherine.farrell@nih.gov Clayton Bingham, PhD clayton.bingham@nih.gov Yanli Wang, PhD yanli.wang@nih.gov | 301-402-7081 (Farrell) 301-594-5929 (Bingham) 301-435-4372 (Wang) |
| Peer Review Contact | Zoe Huang, MD zoe.huang@nih.gov | 301-594-4937 |
| Grants Management Contact | Andrea Culhane andrea.culhane@nih.gov | 301-402-0069 |
| General Grants Info | GrantsInfo@nih.gov | 301-480-7075 |
| eRA Service Desk | https://www.era.nih.gov/need-help | 301-402-7469 or 866-504-9552 |