Data Quality Review

Data Quality Review is a methodological process within the domain of underwriting audit that systematically evaluates the accuracy, completeness, consistency, and reliability of data to ensure its suitability for risk assessment and decision-making purposes.

42

Publications

1.6K

Citations

235

Authors

102

Institutions

Publications per year

2017–2026

17

Authors

235

  1. RB
    Robert B. Fetter

    Yale University, United States

    2 publications · 85 citations

    2

    h-index

  2. AL
    A. Laurie Shroyer

    University of Colorado Health, United States

    2 publications · 77 citations

    2

    h-index

  3. FH
    Fred H. Edwards

    University of Florida, United States

    2 publications · 77 citations

    2

    h-index

  4. JD
    John D. Thompson

    University of Salford, United Kingdom

    2 publications · 85 citations

    2

    h-index

  5. ES
    Eileen Scanlon

    The Open University, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 235

Venues

  1. PLoS ONE

    2 publications · 241 citations

    2

    h-index

  2. Pharmacoepidemiology and Drug Safety

    2 publications · 74 citations

    2

    h-index

  3. The Annals of Thoracic Surgery

    ATS · 2 publications · 77 citations

    2

    h-index

  4. World Journal of Emergency Surgery

    WJES · 1 publications · 50 citations

    1

    h-index

  5. Frontiers in Climate

    1 publications · 13 citations

    1

    h-index

1–5