Dankar Fida K, Badji Radja
College of IT, UAEU, P.O. Box 15551, Al Ain, United Arab Emirates.
Sidra Medical and Research Center, P.O. Box 26999, Doha, Qatar.
J Biomed Inform. 2017 Feb;66:231-240. doi: 10.1016/j.jbi.2017.01.012. Epub 2017 Jan 23.
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.
生物医学数据共享问题是一种博弈形式；一方面，它存在侵犯隐私的风险，另一方面，它有望从知识发现中获利。一般来说，向用户授予数据访问权限的风险在很大程度上取决于所请求的数据、访问目的、请求数据的用户（用户动机）以及用户环境的安全性。虽然传统的手动生物医学数据共享流程（基于机构审查委员会）冗长且要求苛刻，但自动化流程（称为诚实中介系统）忽略了不同请求的个性，为所有数据请求者提供“一刀切”的解决方案。在本手稿中，我们提出了一种概念性的风险感知数据共享系统；该系统将围绕数据请求的所有上下文信息中的风险概念引入数据披露决策模块。反过来，决策模块会采取缓解措施来应对计算出的风险。
