Provenance Preservation

Provenance Preservation is a methodological framework within data management systems that ensures the systematic recording, retention, and integrity maintenance of origin, derivation, and transformation history of data across its lifecycle to support accountability, reproducibility, and trust in data-driven processes.

156

Publications

9.5K

Citations

513

Authors

230

Institutions

Publications per year

2017–2026

36

Authors

513

  1. KM
    Kiran‐Kumar Muniswamy‐Reddy

    Harvard University Press, United States

    6 publications · 827 citations

    6

    h-index

  2. MS
    Margo Seltzer

    Harvard University Press, United States

    6 publications · 906 citations

    6

    h-index

  3. RH
    Ragib Hasan

    University of Alabama at Birmingham, United States

    5 publications · 499 citations

    5

    h-index

  4. MK
    Murat Kantarcıoğlu

    The University of Texas at Dallas, United States

    5 publications · 271 citations

    5

    h-index

  5. RS
    Radu Sion

    Stony Brook University, United States

    5 publications · 518 citations

    5

    h-index

1–5 of 513

Venues

  1. Future Generation Computer Systems

    FGCS · 3 publications · 53 citations

    3

    h-index

  2. 3

    h-index

  3. Data Science Journal

    2 publications · 35 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 87 citations

    2

    h-index

  5. Journal of Physics Conference Series

    2 publications · 39 citations

    2

    h-index

1–5