The Office for Research has developed new ways to use data to inform the research enterprise operation, helping to expedite the IRB approval process and turnaround time for faculty.  The Office for Research has implemented data analytics strategies to streamline the Institutional Review Board (IRB) process and life cycle, inform training and staffing reallocation based on need, and improve turnaround time for the 1,500 submissions per year and over 8,000 active human studies.

“As with all new sets of data that we work with, we first start with speaking with the team to understand their business model, how their workflow interacts with the system or systems they use and where all of their data lives,” said Chris Perkins director of Data, Analytics and Business Intelligence. To read the full story.