Simpler Grants.gov #PAR-25-131

NIH Solicitation for Computational Biomedical Data Curation Solutions

The National Institutes of Health (NIH), through the National Library of Medicine (NLM), is inviting proposals for advanced computational solutions to enhance biomedical data curation and accessibility. - Government Buyer: - National Institutes of Health (NIH) - National Library of Medicine (NLM) - Scope of Solicitation: - Seeks innovative, scalable computational methods for curating biomedical datasets and computational models - Focus on accelerating access to secure, complete research assets for data mining and knowledge discovery - No clinical trials permitted under this grant - Eligibility: - Open to educational institutions, nonprofits, businesses, government entities, and other organizations - Products/Services Requested: - No specific OEMs, vendors, products, or part numbers identified - Emphasis on transformative computational curation methods - Unique Requirements: - Solutions must address large-scale biomedical data - Clinical trials are explicitly excluded - Funding: - Minimum program funding is $250,000; no maximum specified

Description

The National Library of Medicine (NLM) seeks innovative computational approaches to accelerate access to and availability of secure, complete datasets and computational models for biomedical research. The goal is to increase the speed and scope of curation processes to enable data mining and knowledge discovery from the growing quantities of biomedical data. This funding opportunity supports transformative biomedical discoveries through at-scale computational methods. The grant does not allow clinical trials and is intended for a wide range of eligible applicants including educational institutions, nonprofits, businesses, and government entities.

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