How do you anonymise data?

Data anonymisation is an irreversible process by which all data that might allow the data subject to be identified is removed from the dataset in order to render the individual unidentifiable.

There are several anonymisation techniques, and your choice will depend on the context. As the result of the anonymisation process must be as permanent as the destruction, we advise you to check the reliability of the technique you have chosen on the basis of three criteria:

  1. Is it still possible to single out an individual?
  2. Is it still possible to link information to an individual?
  3. Is it possible to deduce information about an individual?

If you can answer "no" to the three questions above, the chosen technique is reliable and will lead to complete anonymisation of the data. If in doubt, or if the chosen process does not meet all the criteria, you should carry out an in-depth analysis of the potential risks and consult the ODP.