ISCF HDRUK DIH Sprint Exemplar: Graph-Based Data Federation for Healthcare Data Science

我们知道，只有当我们查看整个英国的数据时，才能探索许多深入的医疗保健问题的答案。然而，我们在本地管理数据，并以不同的方式描述它，以适应当地社区。为了从本地数据中获得全局视图，我们需要一张地图，它准确地告诉我们在哪里寻找数据，以及当我们找到数据时如何解释它。如果我们有这种地图，那么我们可以使用它来链接不同地点之间的数据，使访问更可预测和更快速，同时还允许管理不同数据集的人保持对其负责的数据如何共享的控制。我们还可以将地图本身视为可以共享的数据，以深入了解数据链接的潜在用途，并鼓励尽可能多的创新者构建可在整个数据环境中使用的工具；丰富数据，揭示新知识并扩展地图。

We know that answers to many in-depth healthcare questions can only be explored if we can look across data for the whole UK. However, we manage data locally and describe it in different ways to suit local communities. To get a global view from local data we need a map that tells us precisely where to look for data and how to interpret it when we find it. If we have this sort of map then we can use it to link data between localities in a way that makes access more predictable and rapid while also allowing the people managing different data sets to retain control of how the data in their charge is shared. We can also treat the map itself as data that can be shared to give insights into potential uses of data linkage and to encourage as wide a variety of innovators as possible to build tools that can be used across the data landscape; enriching the data, revealing new knowledge and extending the map.