Open · 418 days left D National Institutes of Health

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

Funding
$250,000
Deadline
--
Days
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Hrs
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Min
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Sec
Apr 15, 2027
Posted Oct 29, 2024 (479 days ago)
Closes Apr 15, 2027 (in 418 days)

Grant Details

Opportunity Number
PAR-25-131
CFDA / ALN
93.879
Opportunity Category
Discretionary (D)
Funding Category
ED, HL
Funding Instrument
Grant (G)
Cost Sharing
No Cost Sharing (No)

Eligibility

State governments (00) County governments (01) City or township governments (02) Special district governments (04) Independent school districts (05) Public and State controlled institutions of higher education (06) Native American tribal governments (Federally recognized) (07) Public housing authorities / Indian housing authorities (08) Native American tribal organizations (11) Nonprofits having a 501(c)(3) status with the IRS (12) Nonprofits without 501(c)(3) status (13) Private institutions of higher education (20) For-profit organizations other than small businesses (22) Small businesses (23) Others (25)

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); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.

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.