Research data is reliant on joint learnings from other parties, but not without protecting sensitive fields from potential threats. At the same time, other parties who collaborate on research must be able to access data they contributed without seeing sensitive data you provided.
Sotero enables secure data sharing in research by de-identifying and protecting customer data without impacting researchers’ ability to do their analysis, and without any lag in performance.
External parties can run statistical analysis on the entire data set without having visibility into and without putting sensitive data at risk. Multiple teams can simultaneously access and modify data based on group access controls while granular data modification tracking maintains data compliance.