Data Quality Frameworks

Data Quality Frameworks is a structured academic construct that specifies the principles, dimensions, and methodologies for systematically evaluating, monitoring, and improving data quality within organizational and technical contexts.

236

Publications

20.8K

Citations

704

Authors

330

Institutions

Publications per year

2017–2026

71

Authors

704

  1. MP
    Mario Piattini

    University of Castilla-La Mancha, Spain

    8 publications · 320 citations

    8

    h-index

  2. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    7 publications · 290 citations

    7

    h-index

  3. CB
    Carlo Batini

    University of Milano-Bicocca, Italy

    7 publications · 361 citations

    7

    h-index

  4. BO
    Boris Otto

    TU Dortmund University, Germany

    5 publications · 139 citations

    5

    h-index

  5. AK
    Andy Koronios

    University of South Australia, Australia

    4 publications · 272 citations

    4

    h-index

1–5 of 704

Venues

  1. ICIQ

    8 publications · 244 citations

    8

    h-index

  2. Decision Support Systems

    7 publications · 299 citations

    7

    h-index

  3. Journal of Data and Information Quality

    JDIQ · 6 publications · 668 citations

    6

    h-index

  4. IQ

    6 publications · 188 citations

    6

    h-index

  5. Information & Management

    5 publications · 801 citations

    5

    h-index

1–5