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A grant from NSF

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

NSF’s AI Datasets program seeks to unlock additional scientific value from existing community datasets through AI and related methods. Strong alignment centers on AI-enabled feature extraction or metadata generation, integration of datasets, robust automated-analysis pipelines, or augmentation and harmonization that enable new scientific discovery. Proposals should address dataset security, integrity, governance, and processes for scientific-community contributions, and may leverage existing NSF or national infrastructure. The supplied notice identifies broad U.S.-based organizational eligibility and a Grants.gov submission process, but does not provide formal review criteria, award-size limits, or detailed proposal-format requirements.

Start here · Eligibility

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1 source-confirmed criterion · No signupReview criteria

Potential award

Not specified

Time remaining

73 days

Application load

Moderate effort

Best next move

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Verified against the source on 8/21/2026

01

Start here

Confirm eligibility

Check your fit in about 60 seconds.

Eligibility requirementsQuestion 1 of 5
About 60 seconds totalInferred criterion

Does your proposed work directly align with Science and Technology and other Research and Development, Science, Research, Community Development?

What does this mean?

Science and Technology and other Research and Development, Science, Research, Community Development

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Does your proposed work directly align with Science and Technology and other Research and Development, Science, Research, Community Development?
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This is an explainable self-assessment, not a win probability or legal determination. Hard eligibility conflicts are never averaged against softer program-fit signals. Always verify the official notice.

Optional Review source criteria and citations

Nonprofit status

Confirm nonprofit eligibility in the full notice.

Review source ↗
unclear

Geography

Nationwide availability is inferred from the catalog record; confirm the official notice.

Review source ↗
inferred

Organization size

No organization-size limit was captured.

Review source ↗
unclear

Program area

Science and Technology and other Research and Development, Science, Research, Community Development

Review source ↗
inferred

Population served

No specific population was captured.

Review source ↗
unclear

Matching funds

No cost share is indicated.

Review source ↗
confirmed

Registrations

SAM.gov and Grants.gov registration may be required; confirm in the notice.

Review source ↗
inferred

Exclusions

Review the full notice for exclusions and prohibited uses.

Review source ↗
unclear
02

Grant-writer assessment

Understand the opportunity

Start with the practical interpretation. Open the complete source narrative when you need the underlying detail.

Plain-English explanation

Plain-English explanation

NSF’s AI Datasets program seeks to unlock additional scientific value from existing community datasets through AI and related methods. Strong alignment centers on AI-enabled feature extraction or metadata generation, integration of datasets, robust automated-analysis pipelines, or augmentation and harmonization that enable new scientific discovery. Proposals should address dataset security, integrity, governance, and processes for scientific-community contributions, and may leverage existing NSF or national infrastructure. The supplied notice identifies broad U.S.-based organizational eligibility and a Grants.gov submission process, but does not provide formal review criteria, award-size limits, or detailed proposal-format requirements.

Editorial analysis

What the funder is trying to accomplish

NSF aims to increase the value derived from existing scientific community datasets, enabling scientific discovery and innovation through AI and other novel methods. The notice identifies AI-based feature extraction and metadata generation, multi-dataset integration, robust pipelines for automated analysis, and dataset augmentation or harmonization as the program’s principal technical directions.

Editorial analysis

Strong-fit project signals

The project derives new scientific insight or enables innovation from existing scientific community datasets. The proposed work directly delivers one or more named capabilities: AI-based feature extraction, metadata generation, integration of multiple datasets, automated-analysis pipelines, or dataset augmentation or harmonization for AI use. The proposal addresses dataset security and integrity, as well as governance and a process through which scientific communities can contribute to the datasets. The project credibly enables interdisciplinary investigation or investigation outside the original motivation for collecting and analyzing the data. The project leverages relevant existing NSF, national, or other infrastructure where doing so supports the proposed work.

Editorial analysis

What reviewers may prioritize

The supplied notice does not state formal review criteria, reviewer weights, or selection procedures. It is reasonable to infer that a competitive narrative should make the connection clear between the existing dataset(s), the selected AI or data-pipeline intervention, the resulting potential for scientific discovery, and the required stewardship and community-contribution approach. Alignment with NSF priorities, expanding participation in STEM, and Gold Standard Science is encouraged where appropriate, but the notice does not say how any of these considerations will be evaluated.

Source dossier Read the full official program description
Source-backed synopsis

What this grant funds

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.

Read the complete official description ↗
03

Decision economics

Size the opportunity

Use the source facts below to judge whether the likely return justifies the application effort.

Award range
Not specified
Total program funding
$100,000,000
Expected awards
50
Geography
National
Cost share
Not indicated
Assistance listing
Not specified

Mission alignment

Compare your program with Science and Technology and other Research and Development, Science, Research.

Geographic fit

National

04

Working plan

Build the application

The generated milestones are planning aids. Only the official notice establishes required dates.

Requirements captured

Other requirements
*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.
Submission system
Grants.gov
Attachments
NSF Publication 26-512
Contact
U.S. National Science Foundation · grantsgovsupport@nsf.gov · 703-292-4203

Official deadline

November 4, 2026

Moderate effort based on requirements currently captured.

  1. Confirm eligibility, registrations, partners, and internal approval.

  2. Finalize project design, outcomes, and supporting evidence.

  3. Draft the narrative and detailed budget.

  4. Complete compliance review and collect attachments.

  5. Submit early and preserve the confirmation receipt.

05Past behaviorCompare historical awardsHistorical patterns provide context, but do not predict or guarantee future funding decisions.
No licensed historical awards are currently linked to this opportunity.
06Audit trailVerify the evidenceSee where the facts came from, when they were checked, and what has materially changed.

Source record

Source verified means the official record was successfully checked. It does not mean every eligibility or application field has been extracted.

Verification
verified
Source
grants gov
Last checked
8/21/2026, 9:01:43 AM
Content updated
8/12/2026, 1:45:38 AM
Review
Automated normalization; not yet expert-reviewed
Open official source ↗

Material changes

  1. Updated categories.

  2. Updated categories.

Verify before applying. Official funder documents control. Derived analysis and preparation dates should not replace the notice.
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Quick answersFrequently asked questionsGet concise answers about Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant.
Is Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant currently open?

Yes, based on the latest source record. The deadline is November 4, 2026, with 73 days remaining. Because funders can amend or extend notices, confirm the date and submission instructions on the official application page. The source was last checked 8/21/2026.

How much funding does Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant provide?

Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant lists Not specified per award. The total program funding recorded is $100,000,000. NSF expects to make approximately 50 awards, although the final number may vary.

Who can apply to Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant?

Others (see text field entitled "Additional Information on Eligibility" for clarification) Applicants should still complete the eligibility quiz and verify every condition in the official notice; a general fit does not override exclusions or registration requirements.

Does Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant require matching funds?

No cost-share requirement is indicated in the captured source facts. Applicants should still verify the official budget instructions in case an amendment, program track, or specific cost category carries additional conditions.

What should I prepare before applying to Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets) Grant?

Moderate effort is expected. The captured requirements include other requirements, submission system, attachments, contact. Start by confirming eligibility and registrations, then work backward from November 4, 2026 using the preparation plan above.

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