De-identification Governance and Data Privacy Framework

This guide provides a detailed framework for managing data de-identification governance, focusing on data flow, security assessments, threat modeling, and mitigation strategies. It emphasizes the importance of context in data sharing, identifies vulnerabilities, and outlines best practices for ensuring privacy while maximizing data utility. Key components include transparency, accountability, and compliance with ISO/IEC 27559 standards, making it essential for organizations handling sensitive da