Data Risk Management

Data Risk Management is a systematic process within data governance that identifies, assesses, and mitigates potential threats to data quality, integrity, availability, and compliance, distinguishing itself by its focus on proactive and strategic handling of data-related uncertainties across organizational, regulatory, and technical domains.

43

Publications

2.8K

Citations

134

Authors

76

Institutions

Publications per year

2017–2026

27

Authors

134

  1. MJ
    Marijn Janssen

    Delft University of Technology, Netherlands

    2 publications · 692 citations

    2

    h-index

  2. SD
    Sasidhar Duggineni

    Thermo Fisher Scientific (United States), United States

    2 publications · 75 citations

    2

    h-index

  3. FB
    Frédérick Bénaben

    IMT Mines Albi, France

    1 publications · 22 citations

    1

    h-index

  4. AW
    Aaron Weller

    1 publications · 12 citations

    1

    h-index

  5. DB
    David Bromage

    National Archives and Records Administration, United States

    1 publications · 29 citations

    1

    h-index

1–5 of 134

Venues

  1. 3

    h-index

  2. Technological Forecasting and Social Change

    2 publications · 42 citations

    2

    h-index

  3. Government Information Quarterly

    2 publications · 682 citations

    2

    h-index

  4. Computer law & security review

    2 publications · 181 citations

    2

    h-index

  5. Journal of Chronic Diseases

    1 publications · 14 citations

    1

    h-index

1–5