Data Quality Control

Data Quality Control is a systematic procedural framework within fisheries statistics that belongs to the broader class of data management practices, distinguished by its focus on detecting, correcting, and preventing errors and inconsistencies in fisheries data to ensure accuracy, completeness, and reliability throughout the data lifecycle.

1K

Publications

77.8K

Citations

3.3K

Authors

1.3K

Institutions

Publications per year

2017–2026

284

Authors

3.3K

  1. IC
    Ismael Caballero

    University of Castilla-La Mancha, Spain

    10 publications · 436 citations

    10

    h-index

  2. GS
    G. Shankaranarayanan

    Boston University, United States

    9 publications · 454 citations

    9

    h-index

  3. CB
    Carlo Batini

    University of Milano-Bicocca, Italy

    8 publications · 400 citations

    8

    h-index

  4. YW
    Yang W. Lee

    Northeastern University, United States

    8 publications · 2.6K citations

    8

    h-index

  5. MA
    Muhammad Aslam

    King Abdulaziz University, Saudi Arabia

    8 publications · 245 citations

    8

    h-index

1–5 of 3.3K

Venues

  1. Technometrics

    24 publications · 13.7K citations

    20

    h-index

  2. Fisheries Research

    14 publications · 597 citations

    14

    h-index

  3. Journal of Atmospheric and Oceanic Technology

    13 publications · 1.3K citations

    12

    h-index

  4. Decision Support Systems

    12 publications · 640 citations

    12

    h-index

  5. Journal of Quality Technology

    13 publications · 1.7K citations

    12

    h-index

1–5