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Guide to basic anonymisation

This guide is meant to provide an introduction and practical guidance to organisations that are new to anonymisation on how to appropriately perform basic anonymisation and de-identification of structured, textual, non-complex datasets. It presents the anonymisation workflow in the context of four common use cases.

This guide is not exhaustive in dealing with all the issues relating to anonymisation, de-identification and re-identification of datasets. Organisations are advised to consider hiring anonymisation experts, statisticians or independent risk assessors to perform the appropriate anonymisation techniques or assessment of re-identification risks, where anonymisation issues are complex (e.g. large datasets containing a wide range of longitudinal or sensitive personal data).

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