Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical Trial Not Allowed)
- Funder
- National Institutes of Health
- Award amount
- Up to $250,000
- Deadline
- April 15, 2027
- Eligible countries
- United States
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.
Summary as listed on Grants.gov (opportunity 356888). Always read the full announcement for eligibility, limits and how to apply.
Read the full announcement on Grants.gov →What National Institutes of Health reviewers look for
- Importance of the research (significance and innovation), scored 1–9.
- Rigor and feasibility of the approach, scored 1–9. Preliminary data and alternative strategies carry much of this.
- Expertise and resources, rated sufficient or not, without a score.
- Overall impact: the likelihood the project will have a sustained, powerful influence on its field.
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