Data Integrity Validation

Data Integrity Validation is a methodological process within post-migration validation that verifies the completeness, consistency, and accuracy of data after migration by ensuring that data remains unaltered in transit, is traceable, and retains its original meaning and structure within the new system environment.

10

Publications

238

Citations

34

Authors

17

Institutions

Publications per year

2017–2026

7

Authors

34

  1. JC
    Julio Cesar Stacchini de Souza

    Universidade Federal Fluminense, Brazil

    1 publications · 11 citations

    1

    h-index

  2. JW
    Jiajia Wang

    China Pharmaceutical University, China

    1 publications · 11 citations

    1

    h-index

  3. XD
    Xiaoyan Deng

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    1 publications · 11 citations

    1

    h-index

  4. SP
    Simon Parkin

    University College London, United Kingdom

    1 publications · 14 citations

    1

    h-index

  5. JC
    Jason C. Cohen

    Hewlett-Packard (United States), United States

    1 publications · 10 citations

    1

    h-index

1–5 of 34

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 10 citations

    1

    h-index

  2. Very Large Data Bases

    Conference · 1 publications · 50 citations

    1

    h-index

  3. ACM Transactions on Internet Technology

    TOIT · 1 publications · 53 citations

    1

    h-index

  4. BMC Medical Informatics and Decision Making

    1 publications · 11 citations

    1

    h-index

  5. IEEE Transactions on Smart Grid

    1 publications · 11 citations

    1

    h-index

1–5