Data Quality In Transparency

Data Quality in Transparency is a scholarly construct within the domain of government transparency that specifies the criteria and metrics by which the accuracy, completeness, consistency, timeliness, and verifiability of disclosed public data are evaluated to ensure its fitness for use in accountability, oversight, and participatory governance.

13

Publications

576

Citations

45

Authors

26

Institutions

Publications per year

2017–2026

9

Authors

45

  1. JB
    John Barry Ryan

    Stony Brook University, United States

    1 publications · 32 citations

    1

    h-index

  2. YK
    Yanna Krupnikov

    Stony Brook University, United States

    1 publications · 32 citations

    1

    h-index

  3. NB
    Nico B. Rottke

    EBS University of Business and Law, Germany

    1 publications · 46 citations

    1

    h-index

  4. CP
    Christoph Pitschke

    DB Engineering & Consulting (Germany), Germany

    1 publications · 46 citations

    1

    h-index

  5. MJ
    Marijn Janssen

    Delft University of Technology, Netherlands

    1 publications · 160 citations

    1

    h-index

1–5 of 45

Venues

  1. 1

    h-index

  2. SSRN Electronic Journal

    Repository · 1 publications · 18 citations

    1

    h-index

  3. Big Data & Society

    1 publications · 105 citations

    1

    h-index

  4. Public Performance & Management Review

    PPMR · 1 publications · 160 citations

    1

    h-index

  5. Public Opinion Quarterly

    POQ · 1 publications · 32 citations

    1

    h-index

1–5