End-to-end Data Traceability

End-To-End Data Traceability is an academic concept that denotes a comprehensive data tracking framework enabling the systematic monitoring and recording of data transformations, movements, and dependencies across all stages of the data lifecycle, from origin to final usage, thereby distinguishing itself from partial or localized traceability approaches by ensuring uninterrupted, holistic visibility throughout the entire data pipeline.

19

Publications

706

Citations

123

Authors

58

Institutions

Publications per year

2017–2026

17

Variants

End-to-end Data Lineage

Authors

123

  1. PL
    Pierre Laurent‐Puig

    Inserm, France

    1 publications · 13 citations

    1

    h-index

  2. AM
    Argyro Mavrogiorgou

    University of Piraeus, Greece

    1 publications · 39 citations

    1

    h-index

  3. DV
    D. Vidović

    University of Miami, United States

    1 publications · 38 citations

    1

    h-index

  4. SC
    Stephan C. Schürer

    University of Miami, United States

    1 publications · 38 citations

    1

    h-index

  5. DT
    Denis Torre

    Icahn School of Medicine at Mount Sinai, United States

    1 publications · 38 citations

    1

    h-index

1–5 of 123

Venues

  1. Methods of Information in Medicine

    1 publications · 17 citations

    1

    h-index

  2. Scientific Data

    1 publications · 38 citations

    1

    h-index

  3. Sensors

    1 publications · 16 citations

    1

    h-index

  4. IEEE Access

    1 publications · 12 citations

    1

    h-index

  5. SSRN Electronic Journal

    Repository · 1 publications · 15 citations

    1

    h-index

1–5