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 DataMask
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use
General information
Theme
Begin date
Contact information
Responsible use
Goal and impact
The anonymisation software is used to give substance to transparency, on the one hand, and the necessary protection of the individuals and companies to whom the documents relate, on the other.
Considerations
Kapelle municipality has to deal with various laws and regulations under which the municipality actively discloses information upon request. This information may contain privacy-sensitive information. In doing so, it is important that this information is anonymised. Anonymising data by hand is a time-consuming task that also involves errors and data leaks. Using DataMask's software, users themselves are enabled to anonymise personal and confidential information efficiently.
Human intervention
The documents anonymised through the software are checked by an employee. The employee determines whether the document has been correctly anonymised.
Risk management
Risk is minimal because DataMask does not make decisions. DataMask makes a proposal for anonymising data and information. The municipality employee always does the final check whether a document is correctly anonymised.
Legal basis
WOO and the AVG
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.
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 8th of April 2024, at 17:05 (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, e.g. on the basis of the Open Government Act.Last change on 8th of April 2024, at 17:15 (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, e.g. on the basis of the Open Government Act.Last change on 4th of April 2024, at 9:22 (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, e.g. on the basis of the Open Government Act.Last change on 5th of September 2024, at 14:30 (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, e.g. on the basis of the Open Government Act.Last change on 9th of April 2024, at 7:18 (CET) | Publication Standard 1.0
- Publication category
- Other algorithms
- Impact assessment
- Field not filled in.
- Status
- In use