Anonymisation tools and their use

For effective anonymisation, specialised tools can be used to automate the data transformation process and reduce the risk of errors.
However, when choosing a specific anonymisation tool, you should make sure that it is safe and suitable for the specific dataset. Safe anonymisation tools are those provided by a university or institute and for which a data protection impact assessment (DPA) has been carried out.
Similarly, even the best tool, if configured incorrectly, can produce insufficiently anonymised data or transform data in a way that will not allow the intended analysis to be carried out after the process. Learn how to use these tools and understand the different anonymisation parameters, or ask a specialist to help you use them.

Some popular anonymisation tools

  • ARX: comprehensive open-source software for anonymising sensitive personal data It supports a wide range of privacy and risk models, different data transformation methods and output data utility analysis techniques. ARX can handle large data sets
  • Amnesia: A tool that provides a user-friendly interface for different anonymisation methods; a web version is also available to try out the tool
  • sdcMicro: R package for data anonymisation, supports various anonymisation methods
  • anjana: Python library for data anonymisation

Anonymisation tools and their use

For effective anonymisation, specialised tools can be used to automate the data transformation process and reduce the risk of errors.
However, when choosing a specific anonymisation tool, you should make sure that it is safe and suitable for the specific dataset. Safe anonymisation tools are those provided by a university or institute and for which a data protection impact assessment (DPA) has been carried out.
Similarly, even the best tool, if configured incorrectly, can produce insufficiently anonymised data or transform data in a way that will not allow the intended analysis to be carried out after the process. Learn how to use these tools and understand the different anonymisation parameters, or ask a specialist to help you use them.

Some popular anonymisation tools

  • ARX: comprehensive open-source software for anonymising sensitive personal data It supports a wide range of privacy and risk models, different data transformation methods and output data utility analysis techniques. ARX can handle large data sets
  • Amnesia: A tool that provides a user-friendly interface for different anonymisation methods; a web version is also available to try out the tool
  • sdcMicro: R package for data anonymisation, supports various anonymisation methods
  • anjana: Python library for data anonymisation