Data Classification Levels

Data Classification Levels is a systematic framework within data management that categorizes information assets into hierarchically ordered classes based on their sensitivity, value, and criticality to organizational operations, thereby determining appropriate handling, access, and protection controls.

22

Publications

874

Citations

107

Authors

69

Institutions

Publications per year

2017–2026

6

Variants

Information Classification Levels

Authors

107

  1. DA
    Diego A. Soto

    University of Concepción, Chile

    1 publications · 13 citations

    1

    h-index

  2. CS
    C Sreejith

    Indian Institute of Technology Palakkad, India

    1 publications · 23 citations

    1

    h-index

  3. JK
    Jean Khosalim

    Naval Postgraduate School, United States

    1 publications · 26 citations

    1

    h-index

  4. MM
    Mônica M. C. Muelbert

    Universidade Federal do Rio Grande, Brazil

    1 publications · 85 citations

    1

    h-index

  5. MH
    Melinda Holland

    Wildlife Computers (United States), United States

    1 publications · 85 citations

    1

    h-index

1–5 of 107

Venues

  1. 1

    h-index

  2. Methods in Ecology and Evolution

    1 publications · 85 citations

    1

    h-index

  3. Journal of Applied Crystallography

    1 publications · 75 citations

    1

    h-index

  4. Photogrammetric Engineering & Remote Sensing

    1 publications · 22 citations

    1

    h-index

  5. International Journal of Grid and Distributed Computing

    IJGDC · 1 publications · 17 citations

    1

    h-index

1–5