Please note: The algorithm descriptions in English have been automatically translated. Errors may have been introduced in this process. For the original descriptions, go to the Dutch version of the Algorithm Register.
Anonymisation software
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Link to source registration
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 leak and better protects the data of residents and entrepreneurs
Human intervention
A staff member reviews the anonymisation software proposal before it is made final.
Risk management
The risks are minimal, as a staff member always reviews the outcome. No decision-making is applied.
Legal basis
General Data Protection Regulation (AVG), General Data Protection Regulation Implementation Act (UAVG) and Open Government Act (Woo), Electronic Publication Act (WEP).
Links to legal bases
- AVG: https://wetten.overheid.nl/BWBR0011468/2018-05-01
- UAVG: https://wetten.overheid.nl/BWBR0040940/2021-07-01
- WOO: https://wetten.overheid.nl/BWBR0045754/2023-04-01
- WEP: https://wetten.overheid.nl/BWBR0043961/2023-07-01
Link to Processing Index
Operations
Data
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
Link to code base
Similar algorithm descriptions
- The algorithm recognises (personal) data and otherwise confidential information in a document and makes a proposal to anonymise it. A staff member evaluates the proposal and makes the final adjustment, making the document suitable for publication.Last change on 25th of January 2024, at 12:17 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- The algorithm recognises (personal) data and otherwise confidential information in a document and makes a proposal to anonymise it. A staff member evaluates the proposal and makes the final adjustment, making the document suitable for publication.Last change on 25th of January 2024, at 12:18 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- The algorithm recognises (personal) data and otherwise confidential information in a document and makes a proposal to anonymise it. A staff member evaluates the proposal and makes the final adjustment, making the document suitable for publication.Last change on 7th of October 2024, at 15:33 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- The algorithm recognises (personal) data and otherwise confidential information in a document and makes a proposal to anonymise it. A staff member evaluates the proposal and makes the final adjustment, making the document suitable for publication.Last change on 16th of August 2024, at 8:50 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- DPIA
- Status
- In use
- The algorithm recognises (personal) data and otherwise confidential information in a document and makes a proposal to anonymise it. A staff member evaluates the proposal and makes the final adjustment, making the document suitable for publication.Last change on 25th of January 2024, at 12:16 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use