Anonymisation tool

Municipality of Deurne

Anonymising documents for publication or provision

Last change on 19th of December 2024, at 13:43 (CET) | Publication Standard 1.0

• Publication category: Impactful algorithms
• Impact assessment: DPIA
• Status: In use

General information

Theme

Organisation and business operations

Begin date

1062024

Contact information

[e-mail]

Link to publication website

https://www.deurne.nl/privacyverklaring

Responsible use

Goal and impact

The municipality wants to be transparent to its residents and entrepreneurs but it also has to comply with privacy legislation, among other things. The deployment of anonymisation software makes this possible by supporting employees in anonymising documents.

Considerations

The use of anonymisation software speeds up and simplifies the process for active and passive disclosure. Automated anonymisation is also less error-prone than human intervention. This reduces the risk of a data breach and better protects residents' and business owners' data.

Human intervention

A staff member reviews the anonymisation software proposal before it is made final.

Risk management

The risks are minimal because an employee is always still assessing the final result.

Legal basis

General Data Protection Regulation (AVG),

General Data Protection Regulation Implementation Act (UAVG),

Open Government Act (Woo) and

Electronic Publication Act (WEP).

Links to legal bases

• AVG: https://wetten.overheid.nl/BWBR0011468
• UAVG: https://wetten.overheid.nl/BWBR0040940
• WOO: https://wetten.overheid.nl/BWBR0045754
• WEP: https://wetten.overheid.nl/BWBR0043961

Impact assessment

Data Protection Impact Assessment (DPIA): Uitgevoerd door gemeente Deurne

Operations

Data

This depends on the document being anonymised. This includes personal data such as e-mail addresses, telephone numbers, bank account numbers, address details and signatures of natural persons.

Technical design

Smart features, such as set rules or templates, make it possible to anonymise per document or as a bulk. In this way, the method and degree of anonymisation of commonly used (standard) documents can also be set. The software then uses pattern recognition and Natural Language Processing to search for names, addresses, dates of birth, specific set words, signatures or regular expressions (such as e-mail, IBAN, BSN). The DataMask software recognises these and makes suggestions to mask or anonymise them fully automatically.

External provider

Datamask