The Big Data (BD) Interagency Working Group (IWG) coordinates Federal R&D to enable effective analysis, decision-making, and discovery based on large, diverse, real-time data. LSDMA R&D expands big data, data science capabilities to collect, store, access, reuse, analyze, and provide governance for big data accelerating scientific discovery and innovation, providing the foundation for algorithm-driven businesses, and creating new capabilities critical to the Nation. The BD IWG reports investments to the Large-Scale Data Management and Analysis (LSDMA) Program Component Area.
Overview
The Big Data Interagency Working Group (BD IWG) was formed in 2011 to coordinate Federal BD R&D across 17 participating agencies to enable extraction of knowledge and insights of large, diverse, real-time data for an effective analysis, decision making, and discovery. Guided by the Federal Big Data Research and Development Strategic Plan, the IWG focuses on the capabilities to collect, store, access, analyze, reuse, and provide governance for big data that will accelerate scientific discovery and innovation, lead to new areas of research and inquiry, provide vast resources to enhance national security, and create new capabilities that support economic growth and novel solutions to pressing national issues.
Strategic Priorities
- Support the foundational research, innovative tools, and methodologies that maximize the use of large-scale data resources to solve priority challenges in areas such as U.S. security, economy, health, and climate change.
- Supports ethics, security, and privacy in innovation by advancing the reliability, accuracy, performance, generalizability, and transparency of data-driven discovery and decision making.
- Facilitates the sharing, discoverability, interoperability, and reusability of diverse data that are scalable and agile enough to meet the needs of innovation and support open science and community-engaged R&D.
- Enables time-sensitive data-driven decision making through scalable high-performance analytics ecosystems and large-scale data resources.
- Builds a diverse multigeneration workforce necessary to develop, support, and use all aspects of big data.
- Transitions R&D to community practice through innovative partnerships.
Co-Chairs
Amy Walton Deputy Director Office of Advanced Cyberinfrastructure (CISE/OAC) U.S. National Science Foundation |
Manil Maskey Senior Research Scientist Program Manager National Aeronautics and Space Administration |
Technical Coordinator
Ji Hyun Lee |
Activities
- Innovating the Data Ecosystem: An Update of the Federal Big Data Research and Development Strategic Plan, November 2024.
- Federal Register Notice: 87 FR 47473, “Request for Information on the Federal Big Data Research and Development Strategic Plan Update”, July 1, 2022. Public Responses August 17, 2022.
- Big Data: Pioneering the Future of Federally Supported Data Repositories Workshop Report, February 22, 2022.
- A workshop, Pioneering the Future of Federally Supported Data Repositories, was held on January 13-15, 2021. Participants explored future visions for federally supported research data repositories to identify opportunities and challenges, what the repositories can do to realize this vision, and how to build and strengthen this repository community. A workshop report is expected Spring 2021.
Resources and References
- Enabling FAIR Data in the Earth, Space, Environmental Sciences. Shelley Stall. August 23, 2018.
- NCI Cancer Research Data Commons. Allen Dearry. June 28, 2018.