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Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)

National Institutes of Health · PAR-25-131 · Deadline: April 15, 2027 · Advertised ceiling: $250k

Opportunity-exact history — these numbers describe this specific funding opportunity (PAR-25-131), from NIH RePORTER.

Awards under this opportunity 2

to 2 distinct organizations. By FY: 2026: 2

Actual award size $180k median

range $1 – $360k

Listing summary

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.

Eligibility: State governments, County governments, City or township governments, Special district governments, Independent school districts, Public and State institutions of higher education, Native American tribal governments (Federally recognized), Public housing authorities, Native American tribal organizations (other), Nonprofits with 501(c)(3), other than higher education, Nonprofits without 501(c)(3), Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others · Categories: Education, Health · official listing ↗

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Sources: NIH RePORTER (opportunity-exact) and USAspending (program-level), labeled per section. GrantsDue computes summaries only; verify anything critical against the originals. Methodology.