Data Gaps Assessment

Data Gaps Assessment is a systematic analytical process within data quality evaluation that identifies and characterizes missing, incomplete, or insufficient data elements in a dataset with respect to predefined criteria, domain requirements, or expected coverage, thereby distinguishing it from broader data quality checks by focusing specifically on the absence or sparsity of data necessary for reliable analysis and decision-making.

351

Publications

18.4K

Citations

1.9K

Authors

851

Institutions

Publications per year

2017–2026

180

Authors

1.9K

  1. VB
    Vasileios Bampidis

    Animal Welfare Institute, United States

    9 publications · 149 citations

    9

    h-index

  2. MC
    Marianne Chemaly

    Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail, France

    9 publications · 149 citations

    9

    h-index

  3. AP
    Alena Pechová

    University of Veterinary Sciences Brno, Czechia

    9 publications · 149 citations

    9

    h-index

  4. ML
    Marta López‐Alonso

    Universidade de Santiago de Compostela, Spain

    8 publications · 134 citations

    8

    h-index

  5. SS
    Søren Saxmose Nielsen

    University of Copenhagen, Denmark

    8 publications · 135 citations

    8

    h-index

1–5 of 1.9K

Venues

  1. Remote Sensing

    12 publications · 566 citations

    12

    h-index

  2. EFSA Journal

    11 publications · 235 citations

    10

    h-index

  3. SSRN Electronic Journal

    Repository · 9 publications · 318 citations

    9

    h-index

  4. PubMed

    Repository · 7 publications · 369 citations

    7

    h-index

  5. BMC Women s Health

    6 publications · 176 citations

    6

    h-index

1–5