Data Quality Error Correction

Data Quality Error Correction is a methodological framework within the domain of data quality management that systematically identifies, diagnoses, and rectifies inaccuracies, inconsistencies, and anomalies in data to restore its fidelity, completeness, and reliability according to predefined quality standards.

18

Publications

1.1K

Citations

72

Authors

45

Institutions

Publications per year

2017–2026

7

Authors

72

  1. EB
    Eva Baggesgaard Sterndorff

    Technical University of Denmark, Denmark

    1 publications · 23 citations

    1

    h-index

  2. JT
    Jason T. L. Wang

    New Jersey Institute of Technology, United States

    1 publications · 29 citations

    1

    h-index

  3. GF
    Gene Fults

    Utah State University, United States

    1 publications · 28 citations

    1

    h-index

  4. VD
    V. D. Dinglas

    Johns Hopkins University, United States

    1 publications · 60 citations

    1

    h-index

  5. ML
    Mong Li Lee

    National University of Singapore, Singapore

    1 publications · 22 citations

    1

    h-index

1–5 of 72

Venues

  1. Bioinformatics

    2 publications · 328 citations

    2

    h-index

  2. Agricultural and Forest Meteorology

    1 publications · 56 citations

    1

    h-index

  3. Decision Support Systems

    1 publications · 25 citations

    1

    h-index

  4. Journal of Applied Meteorology

    1 publications · 38 citations

    1

    h-index

  5. Econometrics Journal

    1 publications · 21 citations

    1

    h-index

1–5