Privacy Analytics
De-identification Governance and Data Privacy Framework
Pages
2
Time to read
3 mins
Publication
Language
English
Pages
2
Time to read
3 mins
Publication
Language
English
This document is a guide that outlines the principles and practices of de-identification governance in relation to data privacy. It describes how the context in which data is shared and used influences the measure of identifiability, which is critical for ensuring privacy and security. The guide details the importance of assessing privacy and security controls, as well as understanding the features of data that may be exploited. It emphasizes the need for transparency in practices related to data sharing, ensuring that stakeholders are informed in comprehensible language. Additionally, the document discusses the integration of de-identification governance into enterprise information governance to maintain consistency across activities. It also highlights the necessity of monitoring changes in the data environment and maintaining a robust audit trail to respond effectively to incidents. The responsibilities for data sharing and de-identification governance are also addressed, focusing on the roles of custodians and processors.