限制数据管理:当前的实践和未来
Joy Bohyun Jang1, Amy M Pienta1, Margaret C Levenstein1
1ICPSR, University of Michigan.
概括
组织使用五个保险箱框架来管理受限数据,但面临挑战. 本综述考察了安全数据管理当前的做法,挑战和未来的方向.
科学领域:
- 数据管理数据管理
- 信息安全 信息安全
- 研究伦理学研究伦理学
背景情况:
- 五个安全框架在全球范围内被广泛采用,用于在其整个生命周期中管理受限和机密数据.
- 尽管成功整合,但组织在实施安全数据管理实践方面面临着持续的挑战.
- 其重点领域包括数据使用协议,披露风险评估和人员培训.
研究的目的:
- 审查目前限制数据管理的现行做法.
- 识别和讨论在实施"五个安全"框架中遇到的挑战.
- 探索加强受限制数据治理的未来方向.
主要方法:
- 关于限制数据管理当前实践的文献综述.
- 分析与数据使用协议,披露风险审查和培训相关的挑战.
- 讨论新出现的问题和未来的研究需求.
主要成果:
- 目前的实践表明,五个Safes组件的坚持和有效性水平各不相同.
- 在实施数据使用协议和进行彻底的披露风险审查方面,仍然存在重大挑战.
- 培训计划需要不断更新,以应对不断变化的数据安全威胁和道德考虑.
结论:
- 有效的受限制数据管理需要持续调整五个安全框架.
- 未来的努力必须解决数据获取公平性,防止不道德的数据使用,以及对不同类型数据的管理.
- 积极的战略对于对受限制的科学数据进行强有力的和负责任的管理至关重要.
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