.png){kind=icon}
返回
A risk-based framework for biomedical data sharing
.png){kind=icon}
OA
AI
DOI：10.1016/j.jbi.2017.01.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The problem of biomedical data sharing is a form of gambling; on one hand it incurs the risk of privacy violations and on the other it stands to profit from knowledge discovery. In general, the risk of granting data access to a user depends heavily upon the data requested, the purpose for the access, the user requesting the data (user motives) and the security of the user's environment. While traditional manual biomedical data sharing processes (based on institutional review boards) are lengthy and demanding, the automated ones (known as honest broker systems) disregard the individualities of different requests and offer one-size-fits-all solutions to all data requestors. In this manuscript, we propose a conceptual risk aware data sharing system; the system brings the concept of risk, from all contextual information surrounding a data request, into the data disclosure decision module. The decision module, in turn, imposes mitigation measures to counter the calculated risk. (C) 2017 The Authors. Published by Elsevier Inc.
Keyword:
Context-aware privacy
Biomedical data
Data disclosure control
Honest broker systems
Institutional review boards
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
3.5K
被引数:
1.9W
机构
引用论文
.png){kind=icon}
查看更多内容