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

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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.