Unlocking Dataset Value for AI-Enabled Scientific Discovery
This grant supports projects that enhance the value of existing scientific datasets for AI-driven research and discovery by improving data integration, analysis, and accessibility while ensuring security and community participation.
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Funder: U.S. National Science Foundation
Due Dates: November 4, 2026 (Full proposal)
Funding Amounts: Planning: up to $200,000 | Impact: up to $2 million over 3 years | Flagship: up to $5 million over 3 years
Summary: Supports enhancing existing scientific community datasets for AI-enabled discovery, automated analysis, and interdisciplinary research.
Key Information: Research to collect de novo datasets is out of scope.
Description
The AI Datasets program is a cross-directorate NSF initiative to increase the scientific value of existing community datasets through artificial intelligence and other novel methods. It supports work that enables new AI-driven inquiries, interdisciplinary research, and investigations beyond the original purpose of data collection. Relevant activities include feature extraction, metadata generation, dataset integration, robust automated-analysis pipelines, and augmentation or harmonization of existing datasets.
The program seeks trusted, accessible datasets curated with expertise from relevant scientific communities. Projects should address governance, security, integrity, and community contributions, while making enhanced datasets available for scientific use. NSF encourages leveraging existing national infrastructure, including NSF data platforms, Integrated Data Systems and Services, the National AI Research Resource, and the Genesis Mission platform. Planning grants support communities that need additional time or resources to develop concepts.
