Data Tagging for New Information Governance Models

The ubiquitous collection, use, and flow of data challenge existing frameworks for data protection and management. Organizations collect and derive data from myriad sources and use it for various purposes, so that the rules that apply to their data holdings vary. The authors describe data governance...

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Bibliographic Details
Main Authors: Breuning, Paula J., Waterman, K. Krasnow
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers / IEEE Computer society 2011
Online Access:http://hdl.handle.net/1721.1/65136
https://orcid.org/0000-0001-5715-0243
Description
Summary:The ubiquitous collection, use, and flow of data challenge existing frameworks for data protection and management. Organizations collect and derive data from myriad sources and use it for various purposes, so that the rules that apply to their data holdings vary. The authors describe data governance in this complex and dynamic environment, where the rules and obligations that govern how organizations use and protect information attach to the data and must be met wherever or by whomever collects, processes, or stores it. They suggest data tagging to facilitate such an approach.