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

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

General information

Theme

Organisation and business operations

Begin date

2024-02

Contact information

postbus20@schiermonnikoog.nl

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

Final result is handled by employee.

Risk management

The risks are minimal, as a staff member is always still assessing the result.

Operations

Data

This depends on the document being anonymised. Examples include personal data such as email addresses, phone numbers, bank account numbers, address details and signatures.

External provider

Digeplan

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