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
Parents
39
New approaches to security and availability for cloud data
Ari Juels, Alina Oprea · Communications of the ACM · 2013 · 126 citations
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112
University of Cambridge
Cambridge, United Kingdom
5 h-index
8 publications
315 citations

McGill University
Montreal, Canada
2 h-index
2 publications
64 citations
University of Southampton
Southampton, United Kingdom
2 h-index
8 publications
249 citations
Wellcome Connecting Science
Cambridge, United Kingdom
2 h-index
2 publications
52 citations

University of Birmingham
Birmingham, United Kingdom
2 h-index
2 publications
173 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
158 citations
The Alan Turing Institute
London, United Kingdom
2 h-index
2 publications
173 citations
University of Portsmouth
Portsmouth, United Kingdom
1 h-index
1 publications
12 citations
1–8 of 112
Repository · 4 publications · 53 citations
4
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2 publications · 72 citations
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2 publications · 69 citations
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2 publications · 149 citations
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Repository · 1 publications · 59 citations
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