DOE Management and Storage of Scientific Data

Please see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & Innovation Office (RIO).

Program Summary

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in computer science exploring innovative approaches to the management and storage of scientific data.

As highlighted by the recent ASCR Workshop on the Management and Storage of Scientific Data [2,3], building on the outcomes of prior community activities, including Storage Systems and I/O: Organizing, Storing, and Accessing Data for Scientific Discovery [5] and the Office of Science Roundtable on Data for AI [4], and aligned with needs highlighted by interagency planning [11,12], important priority research directions are:

  1. “High-productivity interfaces for accessing scientific data efficiently” – Innovative interfaces to data-management capabilities allowing for flexible, high-performance access to large data sets, potentially federated across different kinds of memory, edge devices, and repositories, capturing relevant usage statistics, provenance, and other metadata.
  2. “Understanding the behavior of complex data management systems in DOE science” – Understanding how the behavior of users, application and system algorithms, and hardware can be combined and exploited to improve performance and resilience of scientific-data-management systems, recognizing that the relevant behaviors can change over time.
  3. “Rich metadata and provenance collection, management, search, and access” – Innovative methods for collecting and managing provenance and other metadata to support FAIR principles, resilience, and scientific reproducibility and discovery.
  4. “Reinventing data services for new applications, devices, and architectures” – Innovative methods to design scientific-data-management services for state-of-the-art storage and networking devices, including those providing computational capabilities.

Each pre-application and application must address, as its primary focus, one or more of these priority research directions.


CU Internal Deadline: 11:59pm MST April 25, 2022

DOE Pre-Application Deadline: 3:00pm MST May 5, 2022

DOE Application Deadline: 9:59pm MST June 13, 2022

Internal Application Requirements (all in PDF format)

  • Project Summary (1 page maximum): Provide the name of the applicant, the project title, the PI and the PI’s institutional affiliation, any coinvestigators (including any unfunded collaborators) and their institutional affiliations, the objectives of the project, a description of the project, including methods to be employed, and the potential impact of the project (i.e., benefits, outcomes).
  • Lead PI Curriculum Vitae
  • Budget Overview (1 page maximum): A basic budget outlining project costs is sufficient; detailed OCG budgets are not required.

Access Online Application


Non-DOE/NNSA FFRDCs are eligible to submit applications under this FOA but are not eligible to be proposed as subrecipients under another organization’s application. Instead, they must submit their own application as a team member in a multi-institutional team. If recommended for funding, either as the sole applicant or in a multi-institutional team, funding may be provided through an interagency agreement to the FFRDC’s sponsoring Federal Agency.

Limited Submission Guidelines

No more than two pre-applications or applications as the lead institution in a multi- institution team. No more than one pre-application or application for each PI.

Award Information

Ceiling: DOE National Laboratories: $750,000 per year; All other applicants: $300,000 per year

Floor: DOE National Laboratories: $250,000 per year; All other applicants: $100,000 per year

DOE anticipates making awards with a project period of three years.