Federated Data Governance

Federated Data Governance is a governance framework that enables decentralized control and coordinated oversight of imaging data across multiple autonomous institutions or domains, preserving local data sovereignty while ensuring compliance with shared policies and standards.

12

Publications

222

Citations

68

Authors

20

Institutions

Publications per year

2017–2026

12

Authors

68

  1. SC
    Stefano Calzati

    Delft University of Technology, Netherlands

    1 publications · 16 citations

    1

    h-index

  2. RH
    Rafiqul Haque

    Korea University, South Korea

    1 publications · 20 citations

    1

    h-index

  3. NR
    Nathaniel Raine

    1 publications · 36 citations

    1

    h-index

  4. KS
    Krystal S. Tsosie

    Arizona State University, United States

    1 publications · 27 citations

    1

    h-index

  5. CM
    Caitlin McHugh

    University of Washington, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 68

Venues

  1. IEEE Access

    2 publications · 34 citations

    2

    h-index

  2. Nature Machine Intelligence

    1 publications · 27 citations

    1

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 1 publications · 14 citations

    1

    h-index

  4. Frontiers in Genetics

    1 publications · 36 citations

    1

    h-index

  5. Computing in Science & Engineering

    1 publications · 13 citations

    1

    h-index

1–5