The MAPA Project is working to provide the most solid data anonymisation tool for public administrations in the EU. GDPR requires a process of encrypting or removing personal data or personally identifiable data in order to protect citizens, users and consumers private or sensitive information in data sets from direct or indirect identification.  This is a direct challenge to many national and cross-national organisations in Europe as they also need to comply with Open Data and Transparency policies and mandates.

The release of MAPA pre-beta version shows the potential of the tool and is freely available online. GDPR identifiers such as contact data, names, addresses or social security numbers are erased so person’s identifiers cannot be traced back. The method is “permanent anonymisation”. When a person cannot be re-identified the data is no longer considered personal data and GDPR does not apply. Running software such as MAPA’s open source docker will make personal data disappear through anonymisation or pseudonymisation techniques, making it possible for Public Administrations to easily deploy truly multilingual anonymisation to their data sets.

The General Data Protection Regulation (GDPR) outlines a specific set of rules that protects citizens and user data in addition to creating transparency in information sharing. GDPR is the strictest data privacy regulation in the world, but it allows companies to collect anonymised data without consent, use it for any purpose, and store it for an indefinite time as long as companies remove all identifiers from the data.

Blue and yellow starred flag of europe with MAPA project logo and General Data Protection Regulation

Data Anonymisation Techniques

  • Data Masking, that is, hiding data with altered values such as What do we mean by Anonymisation and Pseudonymisation , gaps, etc. This is available in the Beta release and through Use Cases (Complaints Watch and national use cases). Users will be able to create a mirror version of a database and apply modification techniques such as word or character substitution, name shuffling or NER techniques such as [LOC1] [PERS2] or [TELF1].
  • Pseudonymization  will be available in the final release and through Use Cases. Through pseudonymisation, a data management and de-identification method replaces private identifiers with pseudonyms (made-up or fake identifiers, like a pre-defined set of names).

Visit MAPA Project’s website on to keep up with the latest news, learn more about anonymisation and needs and of course, try the demo!