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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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
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author Breuning, Paula J.
Waterman, K. Krasnow
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Breuning, Paula J.
Waterman, K. Krasnow
author_sort Breuning, Paula J.
collection MIT
description 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.
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spelling mit-1721.1/651362022-09-27T22:15:33Z Data Tagging for New Information Governance Models Breuning, Paula J. Waterman, K. Krasnow Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Waterman, K. Krasnow Waterman, K. Krasnow 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. 2011-08-12T22:21:07Z 2011-08-12T22:21:07Z 2010-09 Article http://purl.org/eprint/type/JournalArticle 1540-7993 INSPEC Accession Number: 11588116 http://hdl.handle.net/1721.1/65136 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 https://orcid.org/0000-0001-5715-0243 en_US http://dx.doi.org/10.1109/MSP.2010.147 IEEE security and privacy. 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. application/pdf Institute of Electrical and Electronics Engineers / IEEE Computer society IEEE
spellingShingle Breuning, Paula J.
Waterman, K. Krasnow
Data Tagging for New Information Governance Models
title Data Tagging for New Information Governance Models
title_full Data Tagging for New Information Governance Models
title_fullStr Data Tagging for New Information Governance Models
title_full_unstemmed Data Tagging for New Information Governance Models
title_short Data Tagging for New Information Governance Models
title_sort data tagging for new information governance models
url http://hdl.handle.net/1721.1/65136
https://orcid.org/0000-0001-5715-0243
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