Source Data Quality Control

Source Data Quality Control is a systematic methodological framework within the domain of clinical research data management that ensures the accuracy, completeness, and consistency of original data records by applying predefined verification and validation procedures at the point of data collection and entry.

24

Publications

641

Citations

111

Authors

72

Institutions

Publications per year

2017–2026

13

Authors

111

  1. FR
    Faiese Roby

    Centers for Disease Control and Prevention, United States

    1 publications · 12 citations

    1

    h-index

  2. KD
    Kamila Davidson

    Queensland Government, Australia

    1 publications · 11 citations

    1

    h-index

  3. NP
    Nandan Patibandla

    Harvard University, United States

    1 publications · 83 citations

    1

    h-index

  4. HW
    Hongzhi Wang

    Harbin Institute of Technology, China

    1 publications · 13 citations

    1

    h-index

  5. JB
    Joanne Benedict

    Center for Global Development, United States

    1 publications · 48 citations

    1

    h-index

1–5 of 111

Venues

  1. JCO Clinical Cancer Informatics

    2 publications · 61 citations

    2

    h-index

  2. Therapeutic Innovation & Regulatory Science

    TIRS · 2 publications · 64 citations

    2

    h-index

  3. Drug Information Journal

    DIA · 2 publications · 46 citations

    2

    h-index

  4. Duo Research Archive (University of Oslo)

    Repository · 1 publications · 23 citations

    1

    h-index

  5. Clinical Orthopaedics and Related Research

    1 publications · 10 citations

    1

    h-index

1–5