Data Completeness Assessment

Data Completeness Assessment is a data quality evaluation method that systematically determines the extent to which required data elements are present and available within a given dataset, particularly in the context of well test data, by identifying gaps, missing values, or omissions relative to predefined completeness criteria.

32

Publications

982

Citations

127

Authors

63

Institutions

Publications per year

2017–2026

17

Authors

127

  1. MZ
    Meredith Zozus

    University of Arkansas for Medical Sciences, United States

    2 publications · 60 citations

    2

    h-index

  2. AB
    Alan Bauck

    Kaiser Permanente Center for Health Research, United States

    2 publications · 60 citations

    2

    h-index

  3. JS
    Jenny Staab

    Kaiser Permanente, United States

    2 publications · 60 citations

    2

    h-index

  4. DB
    David Bertoch

    Children's Hospital of Philadelphia, United States

    2 publications · 60 citations

    2

    h-index

  5. RD
    Rachida Dssouli

    Concordia University, Canada

    2 publications · 128 citations

    2

    h-index

1–5 of 127

Venues

  1. PubMed

    Repository · 3 publications · 56 citations

    3

    h-index

  2. 2

    h-index

  3. BMC Medical Research Methodology

    1 publications · 17 citations

    1

    h-index

  4. Bulletin of the World Health Organization

    1 publications · 22 citations

    1

    h-index

  5. Geodetski vestnik

    1 publications · 21 citations

    1

    h-index

1–5