Longitudinal Data Privacy
Longitudinal Data Privacy is a methodological framework within the domain of participant privacy that ensures the sustained protection of individuals' data across extended temporal intervals while enabling valid scientific inference through repeated observations.
16
Publications
863
Citations
106
Authors
61
Institutions
Publications per year
2017–2026
8
Parents
16
Balachander Krishnamurthy, Craig E. Wills · 2009 · 257 citations
Public perceptions on data sharing: key insights from the UK and the USA
Saira Ghafur, Jackie van Dael, Melanie Leis et al. · The Lancet Digital Health · 2020 · 113 citations · Full text
Lujo Bauer, Lorrie Faith Cranor, Saranga Komanduri et al. · 2013 · 45 citations · Full text
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61

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
248 citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
26 citations

Worcester Polytechnic Institute
Worcester, United States
1 h-index
1 publications
257 citations
Zirve University
Gaziantep, Turkey
1 h-index
1 publications
68 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
1 h-index
1 publications
45 citations
University of California San Diego
San Diego, United States
1 h-index
2 publications
232 citations

Washington University in St. Louis
St Louis, United States
1 h-index
2 publications
232 citations
Antonine University
Baabda, Lebanon
1 h-index
1 publications
26 citations
1–8 of 61
1 publications · 14 citations
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Repository · 1 publications · 10 citations
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1 publications · 11 citations
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1 publications · 32 citations
1
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1 publications · 113 citations
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