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 tool Datamask
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Link to publication website
Responsible use
Goal and impact
The anonymisation tool is used to prevent personal or confidential data from being unintentionally shared or disclosed
Considerations
Anonymisation is an effective way to protect personal data and reduce the risks of processing it. An advantage of using this algorithm is that (personal) data can be anonymised more efficiently and effectively. That is, anonymisation happens faster and more accurately compared to a completely manual process.
Human intervention
An employee checks the result at all times and makes adjustments where necessary.
Risk management
The risk of this algorithm is minimal because an employee always checks the result.
Legal basis
General Data Protection Regulation (AVG):
Anonymisation is an effective way to protect personal data and reduce the risks of processing it. When data is properly anonymised, it no longer falls under the scope of the AVG as it is no longer traceable to a natural person. Therefore, anonymisation is often applied as a security measure to comply with the AVG principles. Although the AVG does not contain a specific article on anonymisation, recital 26 does refer to "the anonymisation of personal data" as a way to reduce risks to data subjects to an acceptable level. Anonymisation is thus seen as an important technique to effectively protect personal data in line with the AVG.
Open Government Act (WOO):
Under Article 5.1(2)(f) of the Woo, information does not have to be disclosed insofar as its importance does not outweigh the interest in respecting personal privacy. This means that if government information contains personal data, such data need not be disclosed due to the interest of privacy protection. Anonymising personal data is then a logical step to still be able to make this information (partially) public
Links to legal bases
- Algemene Verordening Gegevensbescherming (AVG): https://eur-lex.europa.eu/legal-content/NL/TXT/HTML/?uri=CELEX:32016R0679&qid=1685451198313
- Wet open overheid : https://wetten.overheid.nl/BWBR0045754/2023-04-01
Elaboration on impact assessments
The municipality of Arnhem conducted a DPIA on Datamask's Anonymisation Tool.
Operations
Data
This depends on the document being anonymised. Examples include personal data such as e-mail addresses, phone numbers, bank account numbers, address details and signatures. And based on the Open Government Act (Woo), it can also include data beyond personal data. These grounds for exception are listed in the Woo.
Technical design
The algorithm is trained to identify personal data. The employee enters a document so the process starts. The algorithm suggests (personal) data that should be anonymised. The employee manually reviews this to ensure that only necessary data is anonymised.
External provider
Similar algorithm descriptions
- Among other things, the algorithm recognises and anonymises (personal) data and confidential (financial) data in documents before they are published, e.g. on the basis of the Open Government Act.Last change on 4th of April 2024, at 12:15 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- Among other things, the algorithm recognises and anonymises (personal) data and confidential financial data in documents before they are published or shared.Last change on 11th of June 2024, at 11:26 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- Among other things, the algorithm recognises and anonymises (personal) data and confidential financial data in documents before they are published or shared.Last change on 13th of June 2024, at 7:42 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- DPIA
- Status
- In use
- Among other things, the algorithm recognises and anonymises (personal) data and confidential financial data in documents before they are published or shared.Last change on 18th of April 2024, at 7:40 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
- Among other things, the algorithm recognises and anonymises (personal) data and confidential financial data in documents before they are published or shared.Last change on 24th of June 2024, at 11:30 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- DPIA, ...
- Status
- In development