Data Resource Planning

Data Resource Planning is a strategic methodology within information systems planning that systematically identifies, organizes, and allocates an organization's data assets to ensure consistency, accessibility, and alignment with business objectives.

20

Publications

3.7K

Citations

130

Authors

80

Institutions

Publications per year

2017–2026

9

Authors

130

  1. WS
    William S. Cleveland

    Purdue University West Lafayette, United States

    3 publications · 377 citations

    3

    h-index

  2. AH
    Amanda Henley

    University of North Carolina at Chapel Hill, United States

    1 publications · 20 citations

    1

    h-index

  3. RE
    Rachel E. Foong

    The Kids Research Institute Australia, Australia

    1 publications · 60 citations

    1

    h-index

  4. NR
    Nina Rautio

    University of Oulu, Finland

    1 publications · 60 citations

    1

    h-index

  5. LW
    Lu Wang

    Hainan University, China

    1 publications · 2.1K citations

    1

    h-index

1–5 of 130

Venues

  1. International Statistical Review

    2 publications · 328 citations

    2

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 34 citations

    1

    h-index

  3. International Journal of Digital Curation

    IJDC · 1 publications · 14 citations

    1

    h-index

  4. IEEE Access

    1 publications · 47 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 29 citations

    1

    h-index

1–5