Restricted data management: the current practice and the future

Q2 Mathematics
J. Jang, Amy Pienta, Margaret Levenstein, Joe Saul
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引用次数: 0

Abstract

Many restricted data managing organizations across the world have adapted the Five Safes framework (safe data, safe projects, safe people, safe setting, safe output) for their management of restricted and confidential data. While the Five Safes have been well integrated throughout the data life cycle, organizations observe several unintended challenges regarding data being FAIR (Findable, Accessible, Interoperable, Reusable). In the current study, we review the current practice on the restricted data management and discuss challenges and future directions, especially focusing on data use agreements, disclosure risks review, and training. In the future, restricted data managing organizations may need to proactively take into consideration reducing inequalities in access to scientific development, preventing unethical use of data in their management of restricted and confidential data, and managing various types of data.
受限数据管理:当前实践与未来
世界上许多受限制的数据管理组织都采用了“五个保险箱”框架(安全的数据、安全的项目、安全的人员、安全的环境、安全的输出)来管理受限制的机密数据。虽然五大安全标准已经在整个数据生命周期中得到了很好的集成,但组织在数据公平(可查找、可访问、可互操作、可重用)方面遇到了一些意想不到的挑战。在本研究中,我们回顾了目前限制数据管理的实践,并讨论了挑战和未来的方向,特别是关注数据使用协议,披露风险审查和培训。未来,限制性数据管理组织可能需要积极考虑减少获取科学发展的不平等现象,防止在管理限制性和机密数据时不道德地使用数据,以及管理各种类型的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Privacy and Confidentiality
Journal of Privacy and Confidentiality Computer Science-Computer Science (miscellaneous)
CiteScore
3.10
自引率
0.00%
发文量
11
审稿时长
24 weeks
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