DARE-FX: Delivering a federated network of TREs to enable safe analytics

DARE-FX：提供 TRE 联合网络以实现安全分析

• 批准号: MC_PC_23007
• 负责人: Carole Goble
• 金额: $ 72.18万
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_23007
• 关键词: DARE; FX; Delivering; federated; network

Trusted Research Environments (TREs) are secure locations in which data are placedfor researchers to analyse. They host administrative data, hospital data or any otherdata that must be securely isolated and only accessible for approved queries byapproved researchers. However, it is hard for a researcher to perform analysis acrossmultiple TREs, for example when data is to be analysed across geographical orgovernance boundaries, such as the devolved nature of healthcare in the UnitedKingdom. Yet this ability is urgently needed. Analysis across a federation of TREswould enable timely analysis of UK wide scattered data to answer urgent questions,as we needed in the COVID-19 pandemic.The technologies and standards we need to be able to do this are available now. Theydo not need to be invented. DARE-FX is assembling leading technology providers fromELIXIR-UK and HDR-UK, with three TRE providers and two leading analysis platformsto show through a real reference implementation how we can use secure ResearchObjects to move between TREs while still supporting the Five Safes principles thatgovern and protect patient data; all overseen by patient representatives.The impact will be a step change for how researchers can safely combine data frommany sources, and for how data providers from any sector can safely implement thisusing technology and standards we already have today.

值得信赖的研究环境（TRE）是将数据放置在研究人员进行分析的安全位置。他们托管行政数据，医院数据或任何其他必须安全隔离的数据，只能通过批准的研究人员访问批准的查询。但是，研究人员很难在跨越跨越的TRE进行分析，例如，在跨地理经期间的边界进行分析（例如，美国统一医疗保健的权力下降的性质）。然而，迫切需要这种能力。在TRESW的联合会上进行分析，可以及时分析英国零散的数据，以回答紧急问题，就像我们在COVID-19大流行中所需的那样。我们需要能够做到这一点的技术和标准现在可以使用。它们不需要发明。 Dare-FX正在组装elixir-UK和HDR-UK的领先技术提供商，其中三个TRE提供商和两个领先的分析平台通过了真正的参考实施来展示我们如何使用安全的研究对象在TRE之间移动，同时仍支持五个安全性原则，这些原则和保护患者数据；由患者代表监督。影响将是研究人员如何安全地组合来自Many来源的数据的一步变化，以及来自任何行业的数据提供商如何安全地实施我们今天已经拥有的此类技术和标准。