Private data management in collaborative environments

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DOIResolve DOI: http://doi.org/10.1007/978-3-540-74780-2_10
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TypeArticle
Journal titleCooperative Design, Visualization, and Engineering (CDVE)
Series titleLecture Notes in Computer Series (LNCS); Volume 4674
Pages8896; # of pages: 9
Subjectprivacy; compliance; workflow; social network analysis
AbstractOrganizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of information and communication technologies, improved collaboration, and the pressures of marketing, it is very difficult to locate personal data is, let alone manage its use. In this paper, we outline the challenges of managing personally identifiable information in a collaborative environment, and describe a software prototype we call SNAP (Social Networking Applied to Privacy). SNAP uses automated workflow discovery and analysis, in combination with various text mining techniques, to support automated enterprise management of personally identifiable information.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedYes
NRC number49356
NPARC number19669787
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Record identifier630a206d-4650-42be-8245-2bc5f15c85fa
Record created2012-03-20
Record modified2016-05-09
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