Data Trust Frameworks

Data Trust Frameworks is a formal governance structure that enables secure and ethical data sharing among multiple stakeholders by establishing standardized rules, roles, and technical protocols to ensure data quality, privacy, and accountability.

39

Publications

1.6K

Citations

151

Authors

112

Institutions

Publications per year

2017–2026

38

Authors

151

  1. ND
    Neil D. Lawrence

    University of Sheffield, United Kingdom

    2 publications · 173 citations

    2

    h-index

  2. SD
    Sylvie Delacroix

    University of Birmingham, United Kingdom

    2 publications · 173 citations

    2

    h-index

  3. RM
    Richard Milne

    University of Cambridge, United Kingdom

    2 publications · 52 citations

    2

    h-index

  4. NP
    Nikolaos Pitropakis

    Edinburgh Napier University, United Kingdom

    1 publications · 14 citations

    1

    h-index

  5. UJ
    Upul Jayasinghe

    Liverpool John Moores University, United Kingdom

    1 publications · 49 citations

    1

    h-index

1–5 of 151

Venues

  1. SSRN Electronic Journal

    Repository · 4 publications · 53 citations

    4

    h-index

  2. Journal of Medical Ethics

    2 publications · 72 citations

    2

    h-index

  3. IEEE Access

    2 publications · 69 citations

    2

    h-index

  4. Communications of the ACM

    2 publications · 149 citations

    2

    h-index

  5. ePrints Soton (University of Southampton)

    Repository · 1 publications · 59 citations

    1

    h-index

1–5