Investing In Data Science To Unlock Clinical Data Value

By Richard Young, Vice President of Strategy, Veeva Vault CDMS

When data sources are stored and managed separately, it is difficult to see patterns and reconcile differences. Each source creates and stores data in a different format, with a different schema. Mapping data across sources is labor intensive and introduces traceability challenges. Data managers use data science to ensure data from diverse sources are gathered, harmonized, and formatted for the research scientists to analyze. Organizations that want to analyze big data should equip data managers with the technology and training necessary to ensure the new data is usable.