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.