Data Quality Management

Data Quality Management is a systematic framework within data governance that ensures the accuracy, completeness, consistency, reliability, and timeliness of data across its lifecycle by implementing processes, policies, and metrics to monitor, maintain, and improve the quality of data in data warehousing, data lakehouse architectures, and master data management environments.

490

Publications

34.7K

Citations

1.5K

Authors

631

Institutions

Publications per year

2017–2026

176

Authors

1.5K

  1. BO
    Boris Otto

    TU Dortmund University, Germany

    12 publications · 746 citations

    12

    h-index

  2. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    13 publications · 287 citations

    11

    h-index

  3. MP
    Mario Piattini

    University of Castilla-La Mancha, Spain

    10 publications · 261 citations

    10

    h-index

  4. GS
    G. Shankaranarayanan

    Boston University, United States

    9 publications · 559 citations

    9

    h-index

  5. YW
    Yang W. Lee

    Northeastern University, United States

    8 publications · 889 citations

    8

    h-index

1–5 of 1.5K

Venues

  1. Journal of Data and Information Quality

    JDIQ · 11 publications · 1.2K citations

    11

    h-index

  2. Decision Support Systems

    10 publications · 680 citations

    10

    h-index

  3. Journal of the Association for Information Systems

    JAIS · 8 publications · 239 citations

    8

    h-index

  4. Procedia Computer Science

    7 publications · 215 citations

    7

    h-index

  5. IQ

    6 publications · 153 citations

    6

    h-index

1–5