Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)
Issued by U.S. National Science Foundation · via Grants.gov — US federal funding opportunities
- Published
- 21 Jul 2026
- Closes
- 3 Nov 2027, 23:59 UTC
- Value
- USD 100,000,000
- Reference
- 26-512
- Location
- United States
- Sector
- Financial & Professional Services
This notice was amended
Details changed after publication. Re-check the official notice before bidding.
- Submission deadline changed from 4 Nov 2026, 23:59 UTC to 3 Nov 2027, 23:59 UTCFirst seen by FreeTender on 6 Nov 2026 — most portals don’t publish when a corrigendum was issued.
At a glance
U.S. National Science Foundation in United States has published a funding call in financial & professional services: “Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)”. Submissions close on 3 November 2027, 360 days from today. The stated value is USD 100,000,000. Quote reference 26-512 in any correspondence with the buyer. FreeTender has recorded 149 notices from this buyer since 2009, 130 of them currently open. There are 416 open financial & professional services notices in United States on FreeTender. Bids are submitted to the buyer through Grants.gov — US federal funding opportunities, not through FreeTender.
Key requirements
Taken from the notice by FreeTender. The tender document on the official portal is binding — check it, and any corrigendum, before you bid.
To bid on Grants.gov (US federal)
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Details
This program will advance scientific community datasets to enable scientific discovery and innovation using artificial intelligence (AI) and other methods. Its goal is to increase the value that can be derived from existing scientific datasets by leveraging novel methods and artificial intelligence (AI). This will unlock new AI-driven insights. It can enable interdisciplinary research. It also enables investigations outside of the original motivation for data collection and analysis.The program seeks to 1) apply AI-based capabilities to feature extraction and metadata generation, and the integration of multiple datasets. 2) Develop robust data pipelines necessary for automated analysis of existing datasets and similar use-cases by AI tools and systems. 3) Augment and/or harmonize existing datasets to better enable use by AI data pipelines and automated analysis. Proposals should address dataset security and integrity. Governance and the process for scientific communities to contribute to the datasets should also be addressed. Proposals are encouraged to leverage existing resources. These may include NSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, the Genesis Mission platform, or other national infrastructure.NSF is open to exploring partnerships with philanthropy, private industry, or the non-profit sector to support additional proposals or collaborative opportunities that will advance AI-driven scientific discovery through unlocking the value of high-impact scientific datasets.Expanding Participation in STEM, NSF Priorities, and Gold Standard Science:NSF prioritizes cutting-edge discovery science and engineering research, advancing technology and innovation, and creating opportunities for all Americans. NSF has established priorities set forth by Congress, the administration and the NSF director to promote NSF's mission. Proposers should review the list of NSF priorities and are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets of Gold Standard Science in proposals, as appropriate for the field of science and research modality. Eligibility: *Who May Submit Proposals: Proposals may only be submitted by the following: -For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation. -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. -Other Federal Agencies and Federally Funded Research and Development Centers (FFRDCs): Prospective proposers from other Federal Agencies and FFRDCs, including NSF sponsored FFRDCs, must follow the guidance in PAPPG Chapter I.E.2 regarding limitations on eligibility. -State and Local Governments -Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus. -Tribal Nations: An American Indian or Alaska Native tribe, band, nation, pueblo, village, or community that the Secretary of the Interior acknowledges as a federally recognized tribe pursuant to the Federally Recognized Indian Tribe List Act of 1994, 25 U.S.C. §§ 5130-5131.
Estimated total programme funding: USD 100000000
Expected number of awards: 50
CFDA number(s): 47.041
Federal funding opportunity published on Grants.gov. Applications are submitted through Grants.gov — see the official listing.
Context for bidders
We hold 149 notices from U.S. National Science Foundation, going back to March 2009 — 130 of them still open. They buy mostly in Financial & Professional Services, IT & Telecom and Education & Training. There are 416 open Financial & Professional Services tenders in United States. This one closes in 360 days.
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Before you bid on this tender
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- Prepare any earnest-money deposit (EMD) or bid security and the required formats early; missing or wrongly-formatted documents are a common cause of rejection.
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- Watch for corrigenda and clarifications right up to the deadline — requirements and dates can change.
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