Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)
Open Posted
- Opportunity number
- 26-512
- Agency
-
National Science Foundation
- Applications due
- Award size
- Not on record
Opportunity facts
- Assistance listings
-
- 47.074 Biological Sciences
- 47.050 Geosciences
- 47.041 Engineering
- 47.084 NSF Technology, Innovation, and Partnerships
- 47.049 Mathematical and Physical Sciences
- Funding instrument
- Grant
- Category
-
- Science and Technology and other Research and Development
- Eligible applicants
-
- Other
- Points of contact
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The National Science Foundation is soliciting applications for Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets), a grant program supporting AI-driven feature extraction, metadata generation, data pipeline development, and dataset harmonization for existing scientific datasets, with applications due November 4, 2026. The program explicitly welcomes partnerships with philanthropy, private industry, or the non-profit sector to support collaborative opportunities.
Eligible applicants include for-profit organizations (U.S.-based commercial entities, including small businesses, with strong capabilities in scientific or engineering research or education), non-profit non-academic organizations (independent museums, observatories, research laboratories, professional societies located in the U.S. directly associated with educational or research activities), other federal agencies and FFRDCs, state and local governments, institutions of higher education (two- and four-year IHEs accredited in and having a campus located in the U.S., acting on behalf of faculty members), and tribal nations (federally recognized tribes pursuant to the Federally Recognized Indian Tribe List Act of 1994). Proposals that include funding to be provided to an international branch campus of a U.S. institution of higher education must explain the benefits to the project and justify why activities cannot be performed at the U.S. campus.
The program prioritizes three objectives: applying AI-based capabilities to feature extraction, metadata generation, and integration of multiple datasets; developing robust data pipelines for automated analysis of existing datasets by AI tools and systems; and augmenting or harmonizing existing datasets to enable use by AI data pipelines. Proposals must address dataset security, integrity, governance, and processes for scientific community contribution. Proposers are encouraged to leverage existing NSF resources including NSF data platforms, the NSF Integrated Data Systems and Services program, the NSF-led National AI Research Resource, and the Genesis Mission platform. The program aligns with NSF's priorities in cutting-edge discovery science, technology innovation, and expanding STEM participation. The opportunity is assigned to multiple CFDA numbers: 47.050 (Geosciences), 47.074 (Biological Sciences), 47.070 (Computer and Information Science and Engineering), 47.041 (Engineering), 47.049 (Mathematical and Physical Sciences), and 47.084 (NSF Technology, Innovation, and Partnerships).
Synopsis
4 versions
Update #4 · Latest ·
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.
Update #3 ·
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 includeNSF 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 opportunitiesthat 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 promoteNSF's mission. Proposers should review the list ofNSF prioritiesand are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets ofGoldStandard Sciencein proposals, as appropriate for the field of science and research modality.
Update #2 ·
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 .
Update #1 ·
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 includeNSF 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 opportunitiesthat 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 promoteNSF's mission. Proposers should review the list ofNSF prioritiesand are encouraged to align their proposals with them, where appropriate. NSF also expects the highest standards of scientific rigor, integrity and adherence tenets ofGoldStandard Sciencein 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.
Files
| File | Type | Posted |
|---|---|---|
| PKG00293720.pdf |
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