Metadata Integrity

Metadata Integrity is a data integrity assessment construct that specifically ensures the accuracy, consistency, and trustworthiness of metadata throughout its lifecycle by preserving its structural, semantic, and provenance relationships within data ecosystems.

17

Publications

725

Citations

70

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

70

  1. BG
    Barry Gallagher

    University of New Hampshire at Manchester, United States

    1 publications · 15 citations

    1

    h-index

  2. BR
    Brian R. Calder

    University of New Hampshire, United States

    1 publications · 15 citations

    1

    h-index

  3. KJ
    Kelly J. Applegate

    University of Illinois Urbana-Champaign, United States

    1 publications · 17 citations

    1

    h-index

  4. SD
    Seth D. Robbins

    University of Illinois Urbana-Champaign, United States

    1 publications · 17 citations

    1

    h-index

  5. FM
    Friedhelm Moggert

    University of New Hampshire at Manchester, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 70

Venues

  1. Cataloging & Classification Quarterly

    CCQ · 1 publications · 17 citations

    1

    h-index

  2. Electronic Notes in Theoretical Computer Science

    ENTCS · 1 publications · 43 citations

    1

    h-index

  3. 1

    h-index

  4. Electronic Markets

    EM · 1 publications · 17 citations

    1

    h-index

  5. PLoS Biology

    1 publications · 13 citations

    1

    h-index

1–5