Manual No More: Automating the Scientific Data Lifecycle

Manual No More: Automating the Scientific Data Lifecycle

This article is brought to you by: 

Credit: Gorodenkoff/Shutterstock

Some 50-80% of research scientists' and data scientists' time is spent wrestling with data before they can focus on higher value AI/ML and advanced analysis to help bring new life-saving therapeutics to market. This paper describes how a complete reimagining of discovery and development to drive scientific outcomes leads to a new world where science is accelerated with FAIR (Findable, Accessible, Interoperable, Reusable) harmonized data in the cloud.

Premium Access
To access this content please enter your details in the fields below. If you believe you have already done so for this, please resubmit your details in the next form down.
Already registered?
If you believe you have already registered please submit the email you originally entered.