Operational Data Monitoring

Operational Data Monitoring is a data observability framework that systematically tracks the health, accuracy, and reliability of data flows and pipelines in production environments to ensure consistent and trustworthy operational data usage.

71

Publications

2.6K

Citations

292

Authors

156

Institutions

Publications per year

2017–2026

40

Authors

292

  1. ZL
    Zheng Li

    Tsinghua University, China

    2 publications · 82 citations

    2

    h-index

  2. BP
    Biagio Palumbo

    University of Naples Federico II, Italy

    2 publications · 50 citations

    2

    h-index

  3. MO
    Michael Ott

    Leibniz Supercomputing Centre, Germany

    2 publications · 54 citations

    2

    h-index

  4. MR
    Melissa Romanus

    Rutgers, The State University of New Jersey, United States

    2 publications · 63 citations

    2

    h-index

  5. PL
    Pei Liu

    Tsinghua University, China

    2 publications · 82 citations

    2

    h-index

1–5 of 292

Venues

  1. Applied Sciences

    3 publications · 134 citations

    3

    h-index

  2. 2

    h-index

  3. Energy

    2 publications · 82 citations

    2

    h-index

  4. AECL Nuclear Review

    1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5