TELEPORT: connecting big data to users at light speed

英国拥有丰富的电子健康记录数据。研究人员以多种方式使用这些数据，包括研究COVID大流行，了解疾病以及改善NHS提供的许多服务。因为数据是在许多地方产生和保存的，高度安全的计算机环境——被称为可信研究环境（TREs）——已经被开发出来存储来自NHS和其他公共组织的数据。研究人员通常希望研究整个英国的数据。将所有这些数据集中在一起的一种方法称为数据联合——这是一个与之关联的非常具体的审批过程。TELEPORTER项目将探索如何通过自动化联合过程使数据联合更简单，但同样安全可靠。通过联合威尔士和苏格兰的个人健康数据，将展示一种新型的弹出式TREs模式。这项工作的一个关键部分将是探索如何将相似但不同的审批流程整合在一起，以便数据控制者——最终对数据负责的人——能够确信研究人员正在正确、安全地使用数据，并符合他们批准的用例。

The UK has a wealth of electronic health record data. This data is used by researchers in a multitude of ways including studying the COVID pandemic, understanding disease, and improving the many services the NHS provides. Because data is generated and held in many places, highly-secure computer environments – called Trusted Research Environments (TREs) – have been developed to store data coming from the NHS and other public organisations.Often researchers want to study data from the whole of the UK. One way of bringing all of this data together is called data federation – a process that has very specific approvals associated with it. The TELEPORTER project will explore how to make data federation much simpler, but just as safe and secure, by automating the federation process. A new novel model of pop-up TREs will be demonstrated by federating personal health data from Wales and Scotland. A key part of this work will be to explore how similar but different approvals processes can be brought together so that the data controllers – the people who are ultimately responsible for the data – can have the confidence it is being used appropriately and securely by researchers and in line with the use cases they have approved.