Remote Source Data Verification

Remote Source Data Verification is a methodological approach within clinical research data management that enables the verification of source data at its origin without physical access to trial sites, by utilizing electronic systems and remote monitoring technologies to ensure data accuracy, completeness, and regulatory compliance.

7

Publications

162

Citations

54

Authors

33

Institutions

Publications per year

2017–2026

3

Variants

Remote Sdv

Authors

54

  1. LG
    Lauren Garson

    Clinical Research Organization, Bangladesh

    1 publications · 34 citations

    1

    h-index

  2. OY
    Osamu Yamada

    The University of Osaka, Japan

    1 publications · 18 citations

    1

    h-index

  3. AM
    Athar M. Qureshi

    Texas Children's Hospital, United States

    1 publications · 13 citations

    1

    h-index

  4. JZ
    John Zalcberg

    Peter MacCallum Cancer Centre, Australia

    1 publications · 28 citations

    1

    h-index

  5. RJ
    Ronald J. Sokol

    University of Colorado Denver, United States

    1 publications · 33 citations

    1

    h-index

1–5 of 54

Venues

  1. PLoS ONE

    2 publications · 47 citations

    2

    h-index

  2. Journal of Oncology Practice

    JOP · 1 publications · 28 citations

    1

    h-index

  3. Therapeutic Innovation & Regulatory Science

    TIRS · 1 publications · 34 citations

    1

    h-index

  4. Perspectives in Clinical Research

    1 publications · 22 citations

    1

    h-index

  5. Clinical Trials

    1 publications · 18 citations

    1

    h-index

1–5