Website National Science Foundation (NSF)
Synopsis of Program:
The Integrated Data Systems and Services (IDSS) program supports operations-level national-scale cyberinfrastructure systems and services that broadly advance and facilitate open, data-intensive and artificial intelligence-driven science and engineering research, innovation, and education.
Through this solicitation, the IDSS program is accepting proposals for three categories of projects:
- Category I. Development, deployment, and operation of novel national-scale integrated data systems and services, which may include interfacing with or leveraging other existing capabilities, systems and services as appropriate to the project.
- Between $10 million to $30 million for up to 5 years. Potentially renewable.
- Category II. Transition of established smaller scale, regional, pilot, or prototype data-focused systems and services to national-scale production/operational quality/level. This may also include enhancement and expansion of existing national-scale data-focused operational systems and services.
- Up to $9 million for up to 3 years. Potentially renewable.
- Category III. Planning grants for future potential development/deployment or transition/enhancement IDSS projects.
- Up to $500,000 for up to 2 years. Not renewable.
Scope: IDSS projects should be aimed to broadly impact the science and engineering research and education community in a transdisciplinary and demonstrably multi-disciplinary way, enabling researchers and educators from diverse domains and disciplines to utilize research data, integrate data, and connect data sources with other scientific resources such as computing resources, facilities, instrumentation and repositories. Projects that aim to primarily benefit a single science discipline, domain, project, or application are not supported.
Programmatic areas of interest
Current areas of particular interest to the IDSS program include, but are not limited to and may involve a combination of:
- Projects that facilitate the connection of data sources with advanced computing resources and analytic environments in integrative ways for an appropriately broad array of use cases.
- Projects that address the emerging data-intensive workflows and data integration needs of artificial-intelligence (AI)-driven research (including research about AI and research using AI capabilities).
- Projects that focus on enabling one or more specific points in the data lifecycle applied at a national scale.
Projects that enhance the ability of the research and education community to access and utilize open research data supported by other federal agencies are welcome, provided that such projects are not primarily benefitting a single science discipline, domain, project, or application.
Full details of the IDSS RFA can be found here.
Internal Review Process:
UCI may only submit one Category 1 proposal, and one Category 2 proposal. There are no restriction on the number of Category 3 applications that may be submitted. Therefore, if you are interested in applying to the program in Category 1 or Category 2, please apply to the internal competition by October 9th through the UCI Review site. The following application material is requested:
In a single PDF file, please submit:
- A project summary of no more than two pages that:
- outlines scope of the proposed project
- the multidisciplinary nature of the project that addresses the transformation of research data to knowledge and discovery
- the expected impact of the proposed project.
- CVs (of no more than 3 pages) of the PI and key Co-PIs.
If necessary, and ad hoc review committee will be assembled to review the internal competition applications and select the application to move forward in the submission to the NSF. The selected candidate will be notified by the Office of Research with 5-6 weeks to complete the development of the full proposal to the IDSS program for the December 4, 2025 NSF deadline.
If you have questions regarding the internal competition review process for the IDSS program, please contact Mike Gallo at magallo@uci.edu in the Office of Research.