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Privacy in Data Sharing – A Guide for Business and Government


This guide builds on the 2017 ACS paper, Data Sharing Frameworks, expanding the concept of a Personal Information Factor and introducing a Data Safety Factor with recommendations for threshold settings.


The challenges, risks and solutions


This guide describes a framework for privacy-preserving data sharing, addressing technical challenges and data-sharing issues. These include concerns about data quality, use of outputs, the changing risk inherent in releasing results over time, and the need to develop a 'social licence to operate'.


This document further develops the concept of a quantified 'Five Safes' data analytics framework and briefly examines the implications of using artificially intelligent algorithms to analyse data. It also provides recommendations for trialling the data-sharing framework in the context of developing a national information governance framework.