Data Integrity Metrics

Data Integrity Metrics is a quantitative assessment framework that measures the accuracy, consistency, completeness, and reliability of data within a given system or dataset to evaluate its adherence to predefined integrity standards.

9

Publications

393

Citations

46

Authors

17

Institutions

Publications per year

2017–2026

4

Authors

46

  1. RC
    Richard Cave

    Google (United States), United States

    1 publications · 13 citations

    1

    h-index

  2. RC
    Rance C. Siniard

    University of Alabama at Birmingham, United States

    1 publications · 22 citations

    1

    h-index

  3. FZ
    Faheem Zafar

    COMSATS University Islamabad, Pakistan

    1 publications · 126 citations

    1

    h-index

  4. CB
    Choon Beng Tan

    Universiti of Malaysia Sabah, Malaysia

    1 publications · 78 citations

    1

    h-index

  5. IP
    Irina Pocebneva

    Voronezh State Technical University, Russia

    1 publications · 12 citations

    1

    h-index

1–5 of 46

Venues

  1. PLoS Biology

    1 publications · 13 citations

    1

    h-index

  2. Transportation research procedia

    TRPRO · 1 publications · 12 citations

    1

    h-index

  3. Journal of Network and Computer Applications

    JNCA · 1 publications · 78 citations

    1

    h-index

  4. Computers & Security

    1 publications · 126 citations

    1

    h-index

  5. Optics Express

    1 publications · 83 citations

    1

    h-index

1–5