Data Tagging for New Information Governance Models

被引：8

作者：

Bruening, Paula J. ^{[1
]}

Waterman, K. Krasnow ^{[2
]}

机构：

[1] Hunton & Williams LLP, Ctr Informat Policy Leadership, Washington, DC USA

[2] MIT, Decentralized Informat Grp, Cambridge, MA 02139 USA

来源：

IEEE SECURITY & PRIVACY | 2010年 / 8卷 / 05期

关键词：

data tagging; information governance; privacy;

D O I：

10.1109/MSP.2010.147

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. © 2006 IEEE.

引用

页码：64 / 68

页数：5