Making data

Описание: FAIR data (Findable, Accessible, Interoperable, Re-usable) is seen as a route to releasing value from our existing data in AstraZeneca as well as setting us up to be able to do so much more with new data we generate from here on.

At AstraZeneca we have come to recognise if we want to realise FAIR data then we need to hide the complexity associated with interpreting the FAIR principles into practice by delivering service that are FAIR by design. We are doing this by focusing on three key areas:

Cataloguing data assets (Findability & Accessibility)
Applying Master and Reference Data (Interoperability)
Delivering machine readable Data Dictionaries (Reusability)

In this talk, Ben Gardner discusses how AstraZeneca R&D is approaching these challenges, and how their Enterprise Knowledge Graph can be used to deliver Data-centricity and incorporate the TRUST framework of Data Governance.

Link to full talk - Delivering FAIR Data-centric and TRUSTable data: https://2024.connected-data.london/ta...

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Dr Ben Gardner. R&D Lead for Data Mesh and Semantic Infrastructure, AstraZeneca

Ben is responsible for the application of graph technology in support of Information Discovery. He is focused on delivering FAIR Data-centric architecture to create multimodal integrated data sets to enable exploration and reuse of pre-clinical, clinical and Real World Evidence data.

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