Data Quality Modeling

Data Quality Modeling is a methodological framework within information modeling that systematically defines, represents, and structures the dimensions, rules, constraints, and metrics governing the accuracy, completeness, consistency, and reliability of data in a given domain.

183

Publications

10.3K

Citations

486

Authors

251

Institutions

Publications per year

2017–2026

53

Authors

486

  1. MP
    Mario Piattini

    University of Castilla-La Mancha, Spain

    7 publications · 369 citations

    7

    h-index

  2. CC
    Coral Calero

    University of Castilla-La Mancha, Spain

    5 publications · 200 citations

    5

    h-index

  3. SM
    Stuart Madnick

    Massachusetts Institute of Technology, United States

    5 publications · 709 citations

    5

    h-index

  4. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    5 publications · 276 citations

    5

    h-index

  5. BH
    Bernd Heinrich

    University of Vermont, United States

    5 publications · 288 citations

    5

    h-index

1–5 of 486

Venues

  1. ICIQ

    9 publications · 357 citations

    9

    h-index

  2. Decision Support Systems

    7 publications · 494 citations

    7

    h-index

  3. Journal of Data and Information Quality

    JDIQ · 6 publications · 685 citations

    6

    h-index

  4. Information Systems Frontiers

    5 publications · 126 citations

    5

    h-index

  5. IQ

    3 publications · 63 citations

    3

    h-index

1–5