Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
Last verified by NonDilute: 2026-04-29. Official notice and agency instructions control.
Build AI-powered curation tools for biomedical research data and compete for up to $250K from NIH's National Library of Medicine.
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What this is
The National Library of Medicine is seeking innovative computational approaches that can curate biomedical datasets and research materials at scale, addressing the bottleneck of manual data organization in modern life sciences research. Applicants should propose automated or AI-assisted methods to accelerate data mining, metadata tagging, quality control, and knowledge extraction from growing biomedical data repositories. This is ideal for teams building software or computational pipelines that can handle the administrative and organizational overhead of large research datasets. Awards up to $250,000 are available; clinical trials are explicitly not allowed.
Who can apply
Broad eligibility: nonprofits (501(c)(3) and non-501(c)(3)), small businesses, universities, government entities, and for-profit organizations all qualify. No clinical trials allowed. US-based organizations only (implied by agency structure).
Eligible applicant types
- Special district governments
- County governments
- Public housing authorities/Indian housing authorities
- Native American tribal organizations (other than Federally recognized tribal governments)
- State governments
- Native American tribal governments (Federally recognized)
- Small businesses
- City or township governments
- Nonprofits that do not have a 501(c)(3) status with the IRS, other than institutions of higher education
- Private institutions of higher education
- Public and State controlled institutions of higher education
- Independent school districts
- Nonprofits having a 501(c)(3) status with the IRS, other than institutions of higher education
- For profit organizations other than small businesses
- Others (see text field entitled "Additional Information on Eligibility" for clarification)
Full description — from the agency
NLM wishes to accelerate access to, and availability of, secure, complete datasets and computational models that can serve as the basis for transformative biomedical discoveries. Innovative at-scale computational approaches that increase the speed and scope of curation processes are needed for data mining and knowledge discovery from growing quantities of biomedical data being produced from ongoing data science advances.
Topics: biomedical data curation · computational data mining · automated metadata extraction · research data organization · nlm funding · biodata pipeline
Public-source funding discovery only. This summary is generated from public agency data and may be incomplete or stale. NonDilute is not affiliated with, endorsed by, or acting on behalf of any government agency. Official notices and agency instructions control. NonDilute does not determine eligibility, provide grant-writing advice, or guarantee funding.