Source Data Completeness Assessment

Source Data Completeness Assessment is a methodological procedure within source data verification that evaluates the extent to which original data records contain all required elements and values necessary for accurate, reliable, and comprehensive analysis.

4

Publications

268

Citations

125

Authors

18

Institutions

Publications per year

2017–2026

2

Authors

125

  1. JL
    Jessica L. Rosenberg

    George Mason University, United States

    1 publications · 37 citations

    1

    h-index

  2. RJ
    R. J. Beswick

    University of Manchester, United Kingdom

    1 publications · 179 citations

    1

    h-index

  3. MH
    M. Haverkorn

    Radboud University Nijmegen, Netherlands

    1 publications · 179 citations

    1

    h-index

  4. CT
    C. Tasse

    Centre National de la Recherche Scientifique, France

    1 publications · 179 citations

    1

    h-index

  5. SS
    S. S. Sridhar

    Netherlands Institute for Radio Astronomy, Netherlands

    1 publications · 179 citations

    1

    h-index

1–5 of 125

Venues

  1. The Astronomical Journal

    AJ · 1 publications · 16 citations

    1

    h-index

  2. UvA-DARE (University of Amsterdam)

    Repository · 1 publications · 179 citations

    1

    h-index

  3. The Astrophysical Journal

    ApJ · 1 publications · 37 citations

    1

    h-index

  4. Pharmacoepidemiology and Drug Safety

    1 publications · 36 citations

    1

    h-index

1–4