Computational Approaches to Curation at Scale for Biomedical Research Assets (R01 Clinical
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
| Agency | National Institutes of Health |
|---|---|
| Status | Posted |
| Opportunity number | PAR-25-131 |
| Posted date | 10/29/2024 |
| Application deadline | Apr 15, 2027 12:00:00 AM EDT |
| Award ceiling | 250,000 |
| Award floor | none |
| Estimated total funding | 250,000 |
| Who can apply | Other Eligible Applicants include the following: Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); R |
| Assistance Listing (CFDA) | 93.879 |
| 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. |
| Agency contact | grantsinfo@nih.gov |
| Official listing | https://www.grants.gov/search-results-detail/356888 |