Data Consistency Management

Data Consistency Management is a methodological framework within data migration processes that ensures the integrity, coherence, and temporal alignment of data across source and target platforms or storage systems by systematically detecting, resolving, and preventing discrepancies during transfer, transformation, and synchronization phases.

161

Publications

10.9K

Citations

644

Authors

283

Institutions

Publications per year

2017–2026

42

Authors

644

  1. HG
    Héctor García-Molina

    Stanford University, United States

    4 publications · 708 citations

    4

    h-index

  2. ML
    Maurizio Lenzerini

    Sapienza University of Rome, Italy

    3 publications · 156 citations

    3

    h-index

  3. GD
    Giuseppe De Giacomo

    Sapienza University of Rome, Italy

    3 publications · 112 citations

    3

    h-index

  4. DC
    Diego Calvanese

    Free University of Bozen-Bolzano, Italy

    3 publications · 112 citations

    3

    h-index

  5. JH
    John Hosking

    University of Auckland, New Zealand

    2 publications · 62 citations

    2

    h-index

1–5 of 644

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 37 citations

    3

    h-index

  2. Methods in molecular biology

    Book series · 1 publications · 18 citations

    2

    h-index

  3. Software Practice and Experience

    2 publications · 62 citations

    2

    h-index

  4. 2

    h-index

  5. Journal of Physics Conference Series

    2 publications · 46 citations

    2

    h-index

1–5