Data sharing is one of the methods used by Risk Sciences International to better understand risk.
Broadly
Data sharing involves the controlled exchange of data between organizations or stakeholders for joint analysis, transparency, or coordination. In risk contexts, it supports cumulative assessments, system-wide learning, and inter-agency cooperation. Its benefits include reduced duplication and faster insight generation. However, challenges include confidentiality, harmonization, and legal or ethical constraints on data movement and reuse.
More specifically
RSI facilitates data sharing through the development of data governance frameworks, anonymization protocols, and metadata standards. It advises clients on regulatory requirements, interoperability considerations, and stakeholder trust. RSI’s role as a neutral facilitator enables collaborative data exchange while protecting proprietary and sensitive information. This method is often foundational in projects involving multiple agencies or sectors.