Democratising data – from “No” to “Know”

WRITTEN BY

Peder Blomgren, Mathew Woodwark & Ian Dix

Peder Blomgren

Peder Blomgren Head of R&D Data Office, Data Science and AI, R&D

Mathew Woodwark

Mathew Woodwark Head of R&D Data Infrastructure & Tools, Data Science and AI, R&D

Ian Dix

Ian Dix Head of Data and Analytics, R&D IT


2020欧洲杯体育足球滚球比分Today companies like AstraZeneca are generating and have access to more data than ever before and the quantity is expected to grow exponentially.

Access to high quality data is crucial to advancing science in today’s world. Through access to connected, analytics-ready data, our scientists can uncover new insights with the aim of speeding up the discovery, development and delivery of potential new medicines to patients.




2020欧洲杯体育足球滚球比分 We understand how important it is for research teams to be able to rapidly access and use the data they need, in a responsible way.

2020欧洲杯体育足球滚球比分So we have challenged ourselves to shift from “no” efficient access to data for reuse, to empowering our researchers to “know” what data is available and how to access it. This empowers our scientists to mine data for actionable insights that ultimately have the potential to improve patients’ lives. 

2020欧洲杯体育足球滚球比分How are we doing this?

2020欧洲杯体育足球滚球比分We take a cross-R&D approach to bringing the right people together to ensure we are collecting, organising and using the right data, to enable the best decision-making.

2020欧洲杯体育足球滚球比分And we do all of this accordance with governing standards for protecting patient privacy and confidentiality.

2020欧洲杯体育足球滚球比分It takes hard work to get data in the right shape, embed the right governance, implement the right analytics tools, and, most importantly, to get that data into the hands of the right people to yield potential transformational benefits.





2020欧洲杯体育足球滚球比分We’re setting our sights high. We aim to triple the amount of clinical data available for re-use this year. Next year, we plan to add chemistry and biologics data, imaging, multi-omics and real-world data.

Our teams are on the front lines of building the tools and infrastructure to connect rapidly-developing scientific data sources from inside and outside of AstraZeneca. Not only are we focused on process and tools, but also on R&D-wide standards for data throughout its lifecycle, including governance, policies, processes and curation – ensuring data is Findable, Accessible, Interoperable and Reusable.