Data Classification Schemes

Data Classification Schemes is a formal framework that categorizes data into hierarchical levels based on sensitivity, value, and regulatory requirements to support consistent data handling, access control, and compliance within an organization.

150

Publications

18.4K

Citations

442

Authors

232

Institutions

Publications per year

2017–2026

32

Variants

Data Classification FrameworksInformation Classification Schemes

Authors

442

  1. WT
    W. T. Williams

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 136 citations

    2

    h-index

  2. AM
    Alistair Miles

    University of Oxford, United Kingdom

    2 publications · 789 citations

    2

    h-index

  3. JL
    J.S. Lee

    United States Naval Research Laboratory, United States

    2 publications · 385 citations

    2

    h-index

  4. SY
    Sheng Yü

    Western University, Canada

    2 publications · 138 citations

    2

    h-index

  5. GN
    G. N. Lance

    Commonwealth Scientific and Industrial Research Organisation, Australia

    2 publications · 136 citations

    2

    h-index

1–5 of 442

Venues

  1. Cataloging & Classification Quarterly

    CCQ · 4 publications · 117 citations

    4

    h-index

  2. PLoS ONE

    3 publications · 137 citations

    3

    h-index

  3. The Computer Journal

    2 publications · 136 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5