Simpler Grants.gov #26-512

NSF grants to increase the scientific value of existing datasets

The National Science Foundation is seeking grant proposals to make existing scientific datasets more useful for discovery and innovation. - Government buyer: U.S. National Science Foundation (NSF); no specific sub-agency or office is identified. - Requested work: Use AI and other methods to extract features and generate metadata, integrate or harmonize datasets, and build data pipelines for automated analysis. - Important requirements: Address dataset security and integrity, governance, and ways for scientific communities to contribute. - Potential resources named: NSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, and the Genesis Mission platform. These are referenced as resources, not as named commercial vendors or OEMs. - Funding and applicants: The program estimates $100 million in total funding and 50 awards; individual award amounts are not specified. Eligible applicants include qualifying U.S. businesses, research and educational organizations, government entities, federally recognized Tribal Nations, and other eligible organizations. - Products and vendors: No specific products, part numbers, quantities, OEMs, or commercial vendors are identified.

Description

The NSF grant program supports efforts to increase the value of existing scientific datasets for scientific discovery and innovation using AI and other methods. Proposals may apply AI to feature extraction and metadata generation, integrate datasets, develop automated-analysis data pipelines, and augment or harmonize datasets. Proposals should address data security and integrity, governance, and how scientific communities can contribute. The program lists estimated funding of $100,000,000 and expects 50 awards; award minimum and maximum amounts are not specified.

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