Private data management in collaborative environments

Authors:
Larry Korba;Ronggong Song;George Yee;Andrew S. Patrick;Scott Buffett;Yunli Wang;Liqiang Geng
Affiliations:
institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario;institute for information Technology, National Research Council of Canada, Ottawa, Ontario
Venue:
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Year:
2007

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Abstract

Organizations 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.