Data Tagging for New Information Governance Models
Name
Bruening-2010-Data Tagging for New.pdf
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258.41 KB
Format
Adobe PDF
Checksum (MD5)
8e6b4ba6ca1286b22f76b03d11e2c1ba
Author(s)
Breuning, Paula J.
Waterman, K. Krasnow
Date Issued
September 2010
Journal
IEEE security and privacy.
Publisher
Institute of Electrical and Electronics Engineers / IEEE Computer society
Citation
Bruening, Paula J., and K. Krasnow Waterman. “Data Tagging for New Information Governance Models.” IEEE Security & Privacy Magazine 8.5 (2010) : 64-68. Copyright © 2010, IEEE
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MSP.2010.147
