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.