Jones Kerina H, Ford David V, Jones Chris, Dsilva Rohan, Thompson Simon, Brooks Caroline J, Heaven Martin L, Thayer Daniel S, McNerney Cynthia L, Lyons Ronan A
College of Medicine, ILS2, Swansea University, Swansea, Wales SA2 8PP, UK.
College of Medicine, ILS2, Swansea University, Swansea, Wales SA2 8PP, UK.
J Biomed Inform. 2014 Aug;50(100):196-204. doi: 10.1016/j.jbi.2014.01.003. Epub 2014 Jan 15.
With the current expansion of data linkage research, the challenge is to find the balance between preserving the privacy of person-level data whilst making these data accessible for use to their full potential. We describe a privacy-protecting safe haven and secure remote access system, referred to as the Secure Anonymised Information Linkage (SAIL) Gateway. The Gateway provides data users with a familiar Windows interface and their usual toolsets to access approved anonymously-linked datasets for research and evaluation. We outline the principles and operating model of the Gateway, the features provided to users within the secure environment, and how we are approaching the challenges of making data safely accessible to increasing numbers of research users. The Gateway represents a powerful analytical environment and has been designed to be scalable and adaptable to meet the needs of the rapidly growing data linkage community.
随着当前数据关联研究的扩展，挑战在于在保护个人层面数据隐私的同时，使这些数据能够充分发挥其潜力以供使用。我们描述了一种隐私保护的安全避风港和安全远程访问系统，称为安全匿名信息关联（SAIL）网关。该网关为数据用户提供熟悉的Windows界面和常用工具集，以访问经批准的匿名关联数据集进行研究和评估。我们概述了网关的原则和运营模式、在安全环境中为用户提供的功能，以及我们如何应对让越来越多的研究用户安全访问数据的挑战。该网关代表了一个强大的分析环境，其设计具有可扩展性和适应性，以满足快速发展的数据关联社区的需求。
