Genealogical Data Quality

Genealogical Data Quality is a methodological construct in genealogical demography that specifies the accuracy, completeness, consistency, and reliability of pedigree and familial record data to enable valid historical, genetic, and demographic inferences.

14

Publications

616

Citations

42

Authors

29

Institutions

Publications per year

2017–2026

3

Authors

42

  1. GP
    Geraldine P. Mineau

    University of Utah, United States

    2 publications · 40 citations

    2

    h-index

  2. KA
    Katherine A. Lynch

    Carnegie Mellon University, United States

    2 publications · 40 citations

    2

    h-index

  3. JD
    J. DENNIS WILLIGAN

    University of Utah, United States

    1 publications · 20 citations

    1

    h-index

  4. AR
    Anne Ricard

    Génétique Animale et Biologie Intégrative, France

    1 publications · 52 citations

    1

    h-index

  5. SM
    Sophie Moureaux

    Département Génétique Animale, France

    1 publications · 52 citations

    1

    h-index

1–5 of 42

Venues

  1. Demographic Research

    1 publications · 34 citations

    1

    h-index

  2. 1

    h-index

  3. Annales de Démographie Historique

    1 publications · 20 citations

    1

    h-index

  4. Journal of Animal Breeding and Genetics

    1 publications · 124 citations

    1

    h-index

  5. Forensic Science International

    1 publications · 49 citations

    1

    h-index

1–5