Concepedia

Data Integrity Training

Data Integrity Training is a formal educational process designed to instill principles and practices that ensure the accuracy, completeness, consistency, and reliability of data throughout its lifecycle within regulated and research environments.

2

Publications

86

Citations

9

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–2 of 2

Authors

9

  1. CL
    Christopher Leckie

    The University of Melbourne, Australia

    1 publications · 27 citations

    1

    h-index

  2. SW
    Sandamal Weerasinghe

    The University of Melbourne, Australia

    1 publications · 27 citations

    1

    h-index

  3. TA
    Tansu Alpcan

    The University of Melbourne, Australia

    1 publications · 27 citations

    1

    h-index

  4. JA
    Julian Ays

    RWTH Aachen University, Germany

    1 publications · 59 citations

    1

    h-index

  5. JP
    Jan-Philipp Prote

    RWTH Aachen University, Germany

    1 publications · 59 citations

    1

    h-index

1–5 of 9

Institutions

2

  1. The University of Melbourne

    Melbourne, Australia

    1 h-index

    4 publications

    108 citations

  2. RWTH Aachen University

    Aachen, Germany

    1 h-index

    5 publications

    295 citations

1–2 of 2

Venues

  1. CIRP Annals

    1 publications · 59 citations

    1

    h-index

  2. Pattern Recognition

    1 publications · 27 citations

    1

    h-index

1–2