Key Performance Indicator Data Quality

Key Performance Indicator Data Quality is a metric that assesses the extent to which data associated with key performance indicators meets essential criteria such as accuracy, completeness, consistency, timeliness, and reliability to ensure valid performance measurement and informed decision-making within organizational management systems.

4

Publications

119

Citations

19

Authors

9

Institutions

Publications per year

2017–2026

1

Authors

19

  1. AC
    Ann C. Clements

    Pennsylvania State University, United States

    1 publications · 11 citations

    1

    h-index

  2. MO
    Martin Oliver

    University College London, United Kingdom

    1 publications · 11 citations

    1

    h-index

  3. GT
    Gerhard Thonhauser

    Montanuniversität Leoben, Austria

    1 publications · 26 citations

    1

    h-index

  4. NJ
    Nicola Johnstone

    University of Surrey, United Kingdom

    1 publications · 26 citations

    1

    h-index

  5. KJ
    Kathy Johns

    NIHR Imperial Biomedical Research Centre, United Kingdom

    1 publications · 11 citations

    1

    h-index

1–5 of 19

Venues

  1. Perfusion

    1 publications · 11 citations

    1

    h-index

  2. Archives of Gynecology and Obstetrics

    1 publications · 11 citations

    1

    h-index

  3. The Journal of Academic Librarianship

    1 publications · 71 citations

    1

    h-index

1–3