Cross-system Data Coordination

Cross-System Data Coordination is a data orchestration framework that enables the systematic integration and synchronized management of data workflows across heterogeneous, distributed systems by aligning data semantics, timing, and dependencies to ensure consistency, interoperability, and efficient execution.

6

Publications

146

Citations

17

Authors

8

Institutions

Publications per year

2017–2026

1

Authors

17

  1. FF
    Fabrizio Furano

    Istituto Nazionale di Fisica Nucleare, Sezione di Bari, Italy

    1 publications · 13 citations

    1

    h-index

  2. KK
    Kathleen Kelly

    Colorado State University, United States

    1 publications · 32 citations

    1

    h-index

  3. YT
    Yongdong Tan

    Southwest Jiaotong University, China

    1 publications · 13 citations

    1

    h-index

  4. KJ
    Krys J. Kochut

    University of Georgia, United States

    1 publications · 26 citations

    1

    h-index

  5. AS
    Amit Sheth

    Wright State University, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 17

Venues

  1. Journal of Physics Conference Series

    1 publications · 13 citations

    1

    h-index

  2. The Journal of Law Medicine & Ethics

    JLME · 1 publications · 32 citations

    1

    h-index

  3. Evaluation and Program Planning

    1 publications · 47 citations

    1

    h-index

  4. One Health Outlook

    1 publications · 16 citations

1–4