Data Quality Integration

Data Quality Integration is a framework that systematically incorporates data quality assessment and improvement processes into data integration workflows to ensure consistency, accuracy, and reliability of merged datasets.

20

Publications

525

Citations

112

Authors

55

Institutions

Publications per year

2017–2026

13

Authors

112

  1. CC
    Cinzia Cappiello

    Politecnico di Milano, Italy

    2 publications · 50 citations

    2

    h-index

  2. AS
    Ali Sunyaev

    Karlsruhe Institute of Technology, Germany

    2 publications · 34 citations

    2

    h-index

  3. CF
    Chiara Francalanci

    Politecnico di Milano, Italy

    2 publications · 50 citations

    2

    h-index

  4. CB
    Carlo Batini

    University of Milano-Bicocca, Italy

    2 publications · 50 citations

    2

    h-index

  5. FC
    Federico Cabitza

    University of Milano-Bicocca, Italy

    2 publications · 50 citations

    2

    h-index

1–5 of 112

Venues

  1. Business & Information Systems Engineering

    BISE · 1 publications · 10 citations

    1

    h-index

  2. Seismological Research Letters

    SRL · 1 publications · 17 citations

    1

    h-index

  3. IADC/SPE Drilling Conference and Exhibition

    Conference · 1 publications · 14 citations

    1

    h-index

  4. Journal of Spatial Information Science

    JOSIS · 1 publications · 23 citations

    1

    h-index

  5. Clinica Chimica Acta

    CCA · 1 publications · 15 citations

    1

    h-index

1–5