Delivering FAIR Data-centric and TRUSTable data
A Talk by Dr Ben Gardner (R&D Lead for Data Mesh and Semantic Infrastructure, AstraZeneca)
About this Talk
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, I will discuss how AstraZeneca R&D is approaching these challenges, how we can use our Enterprise Knowledge Graph to deliver Data-centricity and incorporate the TRUST framework of Data Governance.
About The Speakers
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.
We’re a cloud tech company that provides organisations around the world with computing infrastructure and software to help them innovate, unlock efficiencies and become more effective. We also created the world’s first – and only – autonomous database to help organise and secure our customers’ data.
