The U.S. Department of Energy’s (DOE’s) Office of Science has issued a Request for Information (RFI) seeking feedback from industry, academia, research laboratories, government agencies, and other stakeholders on issues related to the stewardship of software for scientific and high-performance computing. Scientific software stewardship is multi-faceted, potentially including but not limited to training and workforce support, infrastructure and curation, and shared engineering resources and project support.

Through this RFI, DOE is soliciting input in nine categories:

  1. Software dependencies and requirements for scientific application development and/or research in computer science and applied mathematics relevant to DOE’s mission priorities
  2. Practices related to the security and integrity of software and data
  3. Infrastructure requirements for software development for scientific and high-performance computing
  4. Developing and maintaining community software
  5. Challenges in building a diverse workforce and maintaining an inclusive professional environment
  6. Requirements, barriers, and challenges to technology transfer, and building communities around software projects, including forming consortia and other non-profit organizations
  7. Overall scope of the stewardship effort
  8. Management and oversight structure of the stewardship effort
  9. Assessment and criteria for success for the stewardship effort

The provided information will be used by DOE’s Advanced Scientific Computing Research (ASCR) program to plan future investments to sustain the scientific and high-performance-computing software ecosystem.

To review the RFI, please click here. Responses to this RFI must be submitted electronically through as described in the RFI by December 13, 2021. Requests for clarification or additional information may be submitted to

This is solely a request for information and not a funding opportunity announcement (FOA). DOE is not accepting applications in response to this RFI.

The ASCR program’s mission is to discover, develop, and deploy computational and networking capability to analyze, model, simulate, and predict complex phenomena important to the Department of Energy and the advancement of science.