Data Relations

Data Relations is a scholarly construct that specifies the systematic connections and dependencies among data elements within a dataset, distinguishing itself by formalizing how data points interact or associate to support argumentative or analytical reasoning in research contexts.

69

Publications

15.5K

Citations

143

Authors

86

Institutions

Publications per year

2017–2026

19

Authors

143

  1. EF
    E. F. Codd

    IBM (United States), United States

    3 publications · 10.2K citations

    3

    h-index

  2. SC
    Sheelagh Carpendale

    University of Calgary, Canada

    2 publications · 56 citations

    2

    h-index

  3. CW
    Carey Williamson

    University of Calgary, Canada

    2 publications · 56 citations

    2

    h-index

  4. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    2 publications · 254 citations

    2

    h-index

  5. MD
    Marian Dörk

    University of Applied Sciences Potsdam, Germany

    2 publications · 56 citations

    2

    h-index

1–5 of 143

Venues

  1. Big Data & Society

    2 publications · 134 citations

    2

    h-index

  2. Communications of the ACM

    2 publications · 10.1K citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 155 citations

    2

    h-index

  4. Very Large Data Bases

    Conference · 2 publications · 70 citations

    2

    h-index

  5. Pharmacoepidemiology and Drug Safety

    2 publications · 54 citations

    2

    h-index

1–5