An RSI Understanding Risk method
Database design
Database design is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Database design structures data storage for efficient access, analysis, and management. In risk science, databases may store incident reports, exposure measurements, or model parameters. Good design ensures that data is searchable, traceable, and scalable. Design choices affect usability, performance, and integration. Challenges include schema evolution, normalization, and balancing flexibility with structure.
More specifically
RSI designs custom databases to support modeling, surveillance, and evidence management. It applies principles of data normalization, security, and metadata tagging to ensure databases serve both analytical and operational needs. RSI’s understanding of risk-specific data types allows it to anticipate use cases and design for long-term functionality. This method supports robust, structured understanding of risk evidence.