This NSF program funds early-stage collaborative work on research data infrastructure—competency, capability, and community building among cyberinfrastructure researchers, data management experts, libraries, and scientists to improve public access and reproducibility of research data. It is for teams with genuine research data science and information science expertise, not for businesses looking for general operating capital. Retail, agriculture, and finance organizations with no research data角色
| Industry | Estimated fit |
|---|---|
| Technology & SoftwareMatches your industry (technology, tech, innovation, cyber) | 87 |
| Environment & ConservationMatches your industry (sustainability) | 73 |
| Education & TrainingMatches your industry (stem) | 66 |
| Construction & InfrastructureMatches your industry (infrastructure) | 60 |
| Social Services & NonprofitCurrently accepting applications | 60 |
| Arts & CultureLimit: Nothing in this notice points to arts & culture | 54 |
| Industry | Estimated fit |
|---|---|
| Energy & Clean TechLimit: Nothing in this notice points to energy & clean tech | 54 |
| Finance & BankingLimit: Nothing in this notice points to finance & banking | 54 |
| Food & BeverageLimit: Nothing in this notice points to food & beverage | 54 |
| Healthcare & BiotechLimit: Nothing in this notice points to healthcare & biotech | 54 |
| Housing & Real EstateLimit: Nothing in this notice points to housing & real estate | 54 |
| ManufacturingLimit: Nothing in this notice points to manufacturing | 54 |
| Transportation & LogisticsLimit: Nothing in this notice points to transportation & logistics | 54 |
| Retail & E-CommerceLimit: Nothing in this notice points to retail & e-commerce | 51 |
| Agriculture & FarmingLimit: Nothing in this notice points to agriculture & farming | 50 |
These are our matcher’s estimates for a typical business in each industry. A real match depends on your size, your state and what you need the money for — check your own fit.
NSF CI PAOS funds early-stage collaborative activities—competency, capability, and community building—among cyberinfrastructure researchers, scientists, data management experts, libraries, and other communities of practice to improve public access, discoverability, and reproducibility of research data. Eligibility is unrestricted; any entity type may apply.
The Cyberinfrastructure for Public Access and Open Science (CI PAOS) program within the Office of Advanced Cyberinfrastructure (OAC) aims to catalyze new and transformative socio-technical partnerships supporting research data infrastructure ecosystems across d omains through early-stage collaborative activities between cyberinfrastructure researchers, scie ntists , research computing experts, data management experts , research labs , university libraries , and other communities of practice.
The CI PAOS program supports the NSF Public Access Initiative by encouraging innovation across the CI ecosystem t o address accessibility, discoverability, reliability, reproducibility, sustainability, and utility of data products in alignment with NSF and national goals for public access and open science [ See: NSF Public Access Initiative , Office of Science and Technology Policy Memorandum on Ensuring Free, Immediate, and equitable Access to Federally funded Research , and Desirable Characteristics of Data Repositories for Federally Funded Research ] . CI PAOS builds on previous investments including those through Dear Colleague Letters NSF 19-069 , NSF 20 -068 , NSF 23-018 , and the FAIROS R esearch C oordination N etworks ( RCN ) p rogram solicitation ( NSF 22-553 ) .
NSF accepts proposals pursuant to this Program Description year-round. From time to time , NSF may also issue Dear Colleague Letters to encourage proposals on special thema tic interests and opportunities related to this progra m .
GUIDANCE TO POTENTIAL PROPOSERS
A primary feature of successful CI PAOS projects is a robust, synergistic collaborative team comprising skills from across communities of science/engineering, research data science, and information science discipline(s) and expertise in leveraging connections between cyberinfrastructure researchers and providers and data specialists . Leveraging international collaboration to build shared norms and address c hallenges related to developing and implementing PAOS policies and practices is encouraged . Research and education in science and engineering benefit immensely from international cooperation. P roposals with an international component are also welcome [See: International Collaborations Opportunities at NSF ] . Proposers must target one or more of th e following themes/pathways: Competency Building, Capability Building, and /or Community Building.
Competency Building
Open s cience /engineering-driven collaboration . A socio -technical collaborative approach in addressing disciplinary , interdisciplinary , domestic, and international data lifecycle challenges is critical to informing and guiding the development of principles, requirements , and standards of a CI ecosystem that fosters pipelines to good data management and pathways to access. Propos al s should clearly describe the goals, challenges, and rationale for the proposed data science and engineering project and include an explanation of the potential for transformative research and broader impacts on the open science ecosystem [ See: U.S. NSF Broader Impacts ] . Successful proposals will also clearly identify utilization science scenarios and use cases .
C apability Building
Exploratory and pilot activities. <span class="TextRun SCXW92189242 BCX4" lang="EN-US" xml:lang="EN-US" d
The listing does not include detailed eligibility text. Check the official listing before you apply.
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