Gaignard Alban, Montagnat Johan
CNRS / UNS, I3S, MODALIS, Sophia Antipolis, France.
Stud Health Technol Inform. 2009;147:257-62.
Grids are key technologies to federate data distributed in multiple neuroscience centers, thus enabling large scale multi-centric studies. However, the take up of these technologies is slow due to the difficulty to manipulate sensitive neuroradiological data in an open environment and the recognized risk of federated sites to loose control over their valuable data. In this paper we propose a distributed data access control policy, enabling the federation of existing data stores, where local security policies prevail, to supports multi-centric neuroscience studies. It achieves a compromise between enabling collaborative work through data sharing and preventing unauthorized access to data in a competitive environment.
网格是将分布在多个神经科学中心的数据进行联合的关键技术,从而能够开展大规模的多中心研究。然而,由于在开放环境中处理敏感神经放射学数据存在困难,以及联合站点意识到对其宝贵数据失去控制的风险,这些技术的采用速度较慢。在本文中,我们提出了一种分布式数据访问控制策略,以实现现有数据存储的联合,其中本地安全策略占主导地位,以支持多中心神经科学研究。它在通过数据共享实现协作工作与在竞争环境中防止未经授权访问数据之间达成了妥协。