Abstract:Data release is essential in supporting data analytics and secondary data analyses. However, data curators need to ensure the released datasets preserve data subjects’ privacy and retain analytical utility. Data privacy is achieved through the anonymisation of datasets before release. The risk of disclosure posed to the dataset should inform the level of anonymisation to be undertaken. As anonymisation achieves data privacy, it reduces the analytical utility of the dataset by introducing alterations to the ori… Show more
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