Agencies and
organisations around the world are increasingly seeking to realise the value
embodied in their growing data holdings, including by making data available for
research and policy analysis. While care is being taken to protect
confidentiality in such data releases, there have been some high profile
instances of access to some publicly-released data being terminated due to
re-identifications or risks of re-identification.

In the face of
current drivers such as amazing expansion in data use scenarios, as well as
growing public concern for privacy, there is a critical need for increased
sophistication in planning and describing confidentiality protection. One such
approach is the Five Safes framework.