Enterprise Data Architecture

Enterprise Data Architecture is a strategic framework that defines the structure, organization, integration, and governance of data assets across an enterprise, distinguished by its role in aligning data management practices with business goals and enabling consistent, secure, and scalable data usage in support of master data management initiatives.

92

Publications

3.1K

Citations

299

Authors

114

Institutions

Publications per year

2017–2026

26

Authors

299

  1. BO
    Boris Otto

    TU Dortmund University, Germany

    4 publications · 116 citations

    4

    h-index

  2. JV
    John van den Hoven

    International Council on Mining and Metals, United Kingdom

    3 publications · 45 citations

    3

    h-index

  3. ME
    Mathias Ekstedt

    KTH Royal Institute of Technology, Sweden

    3 publications · 125 citations

    3

    h-index

  4. PN
    Per Närman

    KTH Royal Institute of Technology, Sweden

    2 publications · 61 citations

    2

    h-index

  5. MJ
    Michael J. Carey

    University of Wisconsin–Madison, United States

    2 publications · 247 citations

    2

    h-index

1–5 of 299

Venues

  1. Information Systems Management

    4 publications · 66 citations

    4

    h-index

  2. Journal of the Association for Information Systems

    JAIS · 4 publications · 113 citations

    4

    h-index

  3. Computers in Industry

    2 publications · 63 citations

    2

    h-index

  4. Alexandria (UniSG) (University of St.Gallen)

    Repository · 2 publications · 76 citations

    2

    h-index

  5. Industrial Management & Data Systems

    2 publications · 54 citations

    2

    h-index

1–5