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Towards a Triad for Data Privacy

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Title:Towards a Triad for Data Privacy
Authors:Covert, Quentin
Steinhagen, Dustin
Francis, Mary
Streff, Kevin
Keywords:Privacy and Economics
data handling
data privacy
data privacy triad
data systems
show 1 moreprivacy frameworks
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Date Issued:07 Jan 2020
Abstract:Data privacy is a topic of interest for researchers, data collection managers, and data system specialists. In an attempt to assuage growing concerns regarding the collection and use of personal data, many organizations have begun developing systems and drafting policies meant to safeguard that data from potential privacy harms. This paper provides a surface-level comparison of data privacy triads from NIST in the United States and ULD in Germany that may form the basis for a future universal definition of data privacy. The analysis shows two different approaches for defining data privacy: one which focuses on the practical implementation of data privacy safeguards (NIST) and one that focuses on defining the highest possible standards to which data processors must be held (ULD).
Pages/Duration:9 pages
URI:http://hdl.handle.net/10125/64277
ISBN:978-0-9981331-3-3
DOI:10.24251/HICSS.2020.535
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Privacy and Economics


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