Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
National Institutes of Health (NIH) · NIH Institute/Center · PAR-25-131
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- Up to $250K
- DeadlineFinal application due date.
- Apr 15, 2027
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- R01
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- —
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Standard NIH dates
- Open dateWhen applications open (or opened).
- Oct 29, 2024
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $250K total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Not allowed
Funding context
Based on FY2024 NIH (all institutes) R01 applications (5,385 of 33,139 applications awarded).
Institute-specific data wasn’t available — showing the NIH-wide rate for this mechanism.
Payline: NIH discontinued percentile paylines for 2026 under its Unified Funding Strategy ↗ — scores are now weighed in context rather than against a fixed cutoff.
NIH-wide R01, all institutes.
Aggregate historical data by institute, mechanism, and fiscal year — context for planning, not a prediction for this opportunity. Source ↗
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
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.
Data notes: administering NIH institute could not be identified from the opportunity number.