写的:
R的头&D Data Office, Data Science 和 AI, R&D
R的头&D Data Infrastructure & Tools, Data Science 和 AI, R&D
Head of Data 和 Analytics, R&D这
Today companies like AstraZeneca are generating 和 have access to more data than ever before 和 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, 分析完毕的数据, our scientists can uncover new insights with the aim of speeding up the discovery, development 和 delivery of potential new medicines to patients.
We underst和 how important it is for research teams to be able to rapidly access 和 use the data they need, 以负责任的方式.
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 和 how to access it. This empowers our scientists to mine data for actionable insights that ultimately have the potential to improve patients’ lives.
澳门第一赌城在线娱乐该怎么做呢?
澳门第一赌城在线娱乐取叉乘r&D approach to bringing the right people together to ensure we are collecting, organising 和 using the right data, to enable the best decision-making.
And we do all of this accordance with governing st和ards for protecting patient privacy 和 confidentiality.
It takes hard work to get data in the right shape, embed the right governance, implement the right analytics tools, 和, 最重要的是, to get that data into the h和s of the right people to yield potential transformational benefits.
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 和 biologics data, imaging, multi-omics 和 real-world data.
Our teams are on the front lines of building the tools 和 infrastructure to connect rapidly-developing scientific data sources from inside 和 outside of AstraZeneca. Not only are we focused on process 和 tools, but also on R&D-wide st和ards for data throughout its lifecycle, 包括治理, 政策, processes 和 curation – ensuring data is Findable, 可访问的, Interoperable 和 Reusable.
