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Findable Accessible Interoperable Reusable Open Science (FAIROS) | NSF 25-533

U.S. National Science Foundation (NSF)

Program Title:

Findable Accessible Interoperable Reusable Open Science (FAIROS)

Synopsis of Program:

The FAIROS Program seeks to support a broad range of transformative open science activities including but not limited to i.) Research, education, and socio-technical cyberinfrastructure development capacities that advance sustainable multi-disciplinary findable, accessible, interoperable, reusable (FAIR) research data management (RDM) and open science capabilities, ii.) Piloting new models of scientific communication and publication that improve efficiency and accessibility, iii.) Developing FAIROS data portals, research data commons, RDM as a national service, and iv.) Lowering barriers to accessing, curating, integrating, linking, managing, sharing, and storing data across many disciplinary domains, irrespective of data size.
The program supports innovation across the cyberinfrastructure (CI) ecosystem to address accessibility, data curation, research data management, discoverability, reliability, reproducibility, preservation, sustainability, and utility of research products, including data software, and code, developed as part of funded projects.
FAIROS proposals must select one of two tracks to focus on, either: 1) Disciplinary Improvements to targeted scientific communities, or 2) Cross-Cutting Improvements that apply to many or most scientific disciplines. In the case of proposals focused on Disciplinary Improvements, it is strongly recommended that prospective PIs contact a program officer from the list of Cognizant Program Officers in the directorate closest to the major disciplinary impact of the proposed work to ascertain that the scientific focus and budget of the proposed work are appropriate for this solicitation. In the case of proposals focused on Cross-Cutting Improvements, it is strongly recommended that prospective PIs contact the cognizant program officer from the Office of Advanced Cyberinfrastructure (OAC).
After selecting either Disciplinary Improvements or Cross-Cutting Improvements in which to focus research, the proposal must include the kinds of activities relevant to the selected track.  Standard research proposals are the only type of proposal accepted in response to this solicitation.
The FAIROS Program is undertaken in support of the US NSF Public Access Initiative.
For more information on the US NSF Public Access Initiative please visit https://new.nsf.gov/public-access.

Broadening Participation In STEM:

NSF recognizes the unique lived experiences of individuals from communities that are underrepresented and/or underserved in science, technology, engineering, and mathematics (STEM) and the barriers to inclusion and access to STEM education and careers. NSF highly encourages the leadership, partnership, and contributions in all NSF opportunities of individuals who are members of such communities supported by NSF. This includes leading and designing STEM research and education proposals for funding; serving as peer reviewers, advisory committee members, and/or committee of visitor members; and serving as NSF leadership, program, and/or administrative staff. NSF also highly encourages demographically diverse institutions of higher education (IHEs) to lead, partner, and contribute to NSF opportunities on behalf of their research and education communities. NSF expects that all individuals, including those who are members of groups that are underrepresented and/or underserved in STEM, are treated equitably and inclusively in the Foundation's proposal and award process.

NSF encourages IHEs that enroll, educate, graduate, and employ individuals who are members of groups underrepresented and/or underserved in STEM education programs and careers to lead, partner, and contribute to NSF opportunities, including leading and designing STEM research and education proposals for funding. Such IHEs include, but may not be limited to, community colleges and two-year institutions, mission-based institutions such as Historically Black Colleges and Universities (HBCUs), Tribal Colleges and Universities (TCUs), women's colleges, and institutions that primarily serve persons with disabilities, as well as institutions defined by enrollment such as Predominantly Undergraduate Institutions (PUIs), Minority-Serving Institutions (MSIs), and Hispanic Serving Institutions (HSIs).

"Broadening participation in STEM" is the comprehensive phrase used by NSF to refer to the Foundation's goal of increasing the representation and diversity of individuals, organizations, and geographic regions that contribute to STEM teaching, research, and innovation. To broaden participation in STEM, it is necessary to address issues of equity, inclusion, and access in STEM education, training, and careers. Whereas all NSF programs might support broadening participation components, some programs primarily focus on supporting broadening participation research and projects. Examples can be found on the NSF Broadening Participation in STEM website.

Award Information

Anticipated Type of Award: Standard Grant or Continuing Grant or Cooperative Agreement

Estimated Number of Awards: 4 to 10

An expected 4 - 10 awards for up to three years are planned in total for this solicitation per each deadline. However, the number of awards will be based on quality of proposals, availability of funds, and responsiveness to priorities of the participating directorates/divisions.

Anticipated Funding Amount: $2,400,000 to $6,000,000

Estimated program budget, number of awards, and average award size/duration are subject to the availability of funds.

Each Research proposal can have a budget up to $600,000 for up to a three-year duration (not exceeding $200,000 per year). Proposals for Research are expected to comprise collaborative, community-oriented, multidisciplinary projects with one or more institutions that address common underlying cyberinfrastructure research data management (RDM) challenges and contribute to community readiness for advancement in effective data practices supporting public access and open science. Collaborative Research Proposals are allowable within this category of Research Proposals.

Specialties

Data Science

Eligibility Requirements

Who May Submit Proposals:

Proposals may only be submitted by the following:
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.
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.
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.
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.

Who May Serve as PI:

There are no restrictions or limits.

Limit on Number of Proposals per Organization:

There are no restrictions or limits.

Sponsor Details

Sponsor Institute/Organizations: U.S. National Science Foundation (NSF)

Sponsor Type: Government/Federal

Address: 2415 Eisenhower Ave Alexandria, VA 22314 (703) 292-5111

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