Data Use Restriction Modeling

Data Use Restriction Modeling is a formal methodological framework within data governance that specifies and enforces constraints on data processing activities by defining permissible purposes, access conditions, and usage boundaries to ensure compliance with privacy regulations and ethical standards.

3

Publications

66

Citations

17

Authors

5

Institutions

Publications per year

2017–2026

1

Authors

17

  1. MD
    María del Carmen Diéguez

    Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina

    1 publications · 18 citations

    1

    h-index

  2. GJ
    Gerald Jay Sussman

    Massachusetts Institute of Technology, United States

    1 publications · 36 citations

    1

    h-index

  3. LK
    Lalana Kagal

    Massachusetts Institute of Technology, United States

    1 publications · 36 citations

    1

    h-index

  4. LS
    Lai‐Chu See

    Chang Gung University, Taiwan

    1 publications · 12 citations

    1

    h-index

  5. SL
    Sheue-Rong Lin

    Chang Gung University, Taiwan

    1 publications · 12 citations

    1

    h-index

1–5 of 17

Venues

  1. Journal of Epidemiology

    1 publications · 12 citations

    1

    h-index

  2. 1

    h-index

1–2