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National Science Foundation

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)

Funds making existing scientific datasets usable by AI β€” $100 million across 50 awards, and companies can apply.

OpenNational Science FoundationUnited States

Science has accumulated enormous datasets that AI cannot easily use, because they were built for a different purpose and a human reader. This programme pays to change that.

Three kinds of work are named. Applying AI to feature extraction, metadata generation and the integration of several datasets into one. Building robust data pipelines so existing datasets can be analysed automatically by AI to…

Increasing the value of existing scientific datasets for AI-driven discovery β€” AI-based feature extraction and metadata generation, integration of multiple datasets, robust pipelines for automated analysis, and augmenting or harmonising data so AI systems can use it. Dataset security, integrity and community governance must be addressed.

CycleiHow often this grant runs β€” e.g. annually, on a rolling basis, or a one-off call.Annual
Next deadlineiThe next date applications are due. Rolling means you can apply any time.4 Nov 2026
Decision timeiTypical time from the deadline to the funder's decision.26 weeks
Project durationiHow long the funded work is expected to run.β€”
Award typeiThe form of funding β€” grant, equity, loan, tax credit, etc.Grant
Match fundingiThe share of project costs you must cover yourself. 0% = fully funded.β€”
Funding pooliThe total budget available across all awards in this round.$100M

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Last verified: 25 Aug 2026Funder reference: 26-512Source: www.grants.gov