Data Quality Scoring

Data Quality Scoring is a systematic metric-based method that quantifies the overall quality of a dataset by aggregating individual data quality dimension assessments into a single numerical score.

36

Publications

2.6K

Citations

133

Authors

69

Institutions

Publications per year

2017–2026

11

Authors

133

  1. MA
    Mohamed Adel Serhani

    United Arab Emirates University, United Arab Emirates

    2 publications · 112 citations

    2

    h-index

  2. SK
    Sangita Kulathinal

    University of Helsinki, Finland

    2 publications · 21 citations

    2

    h-index

  3. BP
    Beth Plale

    Indiana University Bloomington, United States

    2 publications · 40 citations

    2

    h-index

  4. KS
    Kesar Singh

    Rutgers, The State University of New Jersey, United States

    2 publications · 428 citations

    2

    h-index

  5. IT
    Ikbal Taleb

    United Arab Emirates University, United Arab Emirates

    2 publications · 112 citations

    2

    h-index

1–5 of 133

Venues

  1. 2

    h-index

  2. Lecture notes in computer science

    LNCS · Book series · 1 publications · 28 citations

    1

    h-index

  3. International Journal of Medical Informatics

    1 publications · 36 citations

    1

    h-index

  4. Journal of Applied Sciences

    1 publications · 17 citations

    1

    h-index

  5. International Journal of Dental Hygiene

    1 publications · 10 citations

    1

    h-index

1–5