OpenSAFELY: Decentralized Analytics for Medical Research (bennett.ox.ac.uk)

• Analytical code runs within secure data environments.
• Full auditability and transparency of the research pipeline.
• Mitigation of privacy risks through federated data processing.

"OpenSAFELY redefines medical research by shifting the analytical model from data sharing to code sharing. By deploying analytical code directly into secure, established healthcare record environments, the project eliminates the need for sensitive data extraction. This architecture ensures high-fidelity privacy protection while enabling rapid, population-scale research. By forcing transparency in the software and processes used for analysis, OpenSAFELY addresses the reproducibility crisis in clinical science and establishes a new technical standard for safe, effective utilization of national health data assets."