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.
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.
- Maximize use of large-scale data resources through foundational research into innovative tools and methodologies to solve problems of national and societal importance.
- Establish the trustworthiness of data-driven discovery and decision-making to ensure reliability, accuracy, generalizability, and performance in solutions to drive S&T, and the industries of the future.
- Enable the interoperability of diverse data types and sources that is scalable and enables data integration among heterogeneous datasets to support innovative solutions.
- Support real-time analytics by reducing latency between data ingest, analysis, and decision-making.
- Develop and retain a data-literate workforce through improved education and training opportunities.
- Transition research to practice by translating R&D into operational tools and technologies that enhance U.S. economy, security, and well-being.
|Laura J. Biven
Data Science Technical Lead
Office of Data Science Strategy
Division of Program Coordination, Planning and Strategic Initiatives
Office of the Director
National Institutes of Health
Office of Advanced Cyberinfrastructure (CISE/OAC)
National Science Foundation
- 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.
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