Source Data Traceability

Source Data Traceability is a systematic framework within regulatory science that establishes an unbroken, auditable linkage between raw source data and its subsequent representations in regulatory submission dossiers, ensuring verifiability, integrity, and accountability throughout the data lifecycle.

24

Publications

691

Citations

82

Authors

55

Institutions

Publications per year

2017–2026

16

Authors

82

  1. JS
    Jonas S. Almeida

    Medical University of South Carolina, United States

    1 publications · 35 citations

    1

    h-index

  2. MG
    Mark G. Weiner

    University of Pennsylvania, United States

    1 publications · 59 citations

    1

    h-index

  3. GC
    Guangyuan Cui

    Henan Provincial Eye Hospital, China

    1 publications · 34 citations

    1

    h-index

  4. AS
    Angelos Stavrou

    George Mason University, United States

    1 publications · 20 citations

    1

    h-index

  5. JB
    Jonathan Bell

    Columbia University, United States

    1 publications · 20 citations

    1

    h-index

1–5 of 82

Venues

  1. Therapeutic Innovation & Regulatory Science

    TIRS · 2 publications · 39 citations

    2

    h-index

  2. Electronics

    2 publications · 65 citations

    2

    h-index

  3. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 14 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 18 citations

    1

    h-index

1–5