Towards a Triad for Data Privacy

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dc.contributor.authorCovert, Quentin
dc.contributor.authorSteinhagen, Dustin
dc.contributor.authorFrancis, Mary
dc.contributor.authorStreff, Kevin
dc.date.accessioned2020-01-04T08:04:40Z
dc.date.available2020-01-04T08:04:40Z
dc.date.issued2020-01-07
dc.description.abstractData 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).
dc.format.extent9 pages
dc.identifier.doi10.24251/HICSS.2020.535
dc.identifier.isbn978-0-9981331-3-3
dc.identifier.urihttp://hdl.handle.net/10125/64277
dc.language.isoeng
dc.relation.ispartofProceedings of the 53rd Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectPrivacy and Economics
dc.subjectdata handling
dc.subjectdata privacy
dc.subjectdata privacy triad
dc.subjectdata systems
dc.subjectprivacy frameworks
dc.titleTowards a Triad for Data Privacy
dc.typeConference Paper
dc.type.dcmiText

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