A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: a privacy-protecting remote access system for health-related research and evaluation.
A case study of the Secure Anonymous Information Linkage (SAIL) Gateway: a privacy-protecting remote access system for health-related research and evaluation.
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DOI：
10.1016/j.jbi.2014.01.003
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发表时间：
2014-08
影响因子：
4.5
通讯作者：
Lyons, Ronan A.
中科院分区：
文献类型：
--
作者：
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.
SAIL网关是一个隐私保护的避风港和安全的远程访问系统。它为批准的用户提供安全的数据访问。它是数据分析活动的强大平台。该系统能够容纳不断增长的数据用户群。这是一个具有挑战性的领域，正在取得进一步的进步。随着当前数据链接研究的扩展，面临的挑战是在保护个人数据的隐私与使这些数据能够充分发挥其潜力之间找到平衡。我们描述了一个隐私保护的避风港和安全的远程访问系统，称为安全匿名信息链接（SAIL）网关。该网关为数据用户提供了一个熟悉的Windows界面和他们常用的工具集，以访问经批准的匿名链接数据集进行研究和评估。我们概述了网关的原理和运作模式，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地访问数据的挑战。网关代表了一个强大的分析环境，并且被设计为可扩展和可适应的，以满足快速增长的数据链接社区的需求。
SAIL Gateway is a privacy-protecting safe haven and secure remote access system. It provides secure data access to approved users. It is a powerful platform for data analysis activities. The system is able to accommodate a growing data user base. This is a challenging field with further improvements in progress. 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.
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DOI：
10.1136/amiajnl-2012-001011
发表时间：
2013-01-01
影响因子：
6.4
作者：
Hertzman, Caitlin Pencarrick;Meagher, Nancy;McGrail, Kimberlyn M.
通讯作者：
McGrail, Kimberlyn M.
影响因子：
2.3
作者：
Atkinson MD;Brophy S;Siebert S;Gravenor MB;Phillips C;Ford DV;Jones KH;Lyons RA
通讯作者：
Lyons RA
影响因子：
3.5
作者：
Lyons RA;Jones KH;John G;Brooks CJ;Verplancke JP;Ford DV;Brown G;Leake K
通讯作者：
Leake K
影响因子：
2.5
作者：
McGregor, Joanna;Brooks, Caroline;Lloyd, Keith
通讯作者：
Lloyd, Keith
影响因子：
9.8
作者：
Brophy, Sinead;Jones, Kerina H.;Dunstan, Frank
通讯作者：
Dunstan, Frank