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.

Anonymise

Black lacquering of e.g. sensitive information in documents

Last change on 15th of July 2024, at 12:41 (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

10-2022

Contact information

https://www.bergenopzoom.nl/contact-en-openingstijden

Responsible use

Goal and impact

Under the AVG, personal data from documents must be anonymised. The Open Government Act requires municipalities to actively disclose information, as a result of which many documents need to be anonymised. The algorithm supports this by automatically deleting personal data from documents.

Considerations

The alternative is manually filing away personal data. With the entry into force of the Open Government Act, this is an error-prone and, due to the high volume, inefficient process.

Human intervention

After each anonymisation, a check was always made by a staff member.

Risk management

Due to human intervention after each anonymisation, the risk is considered zero.

Legal basis

Woo (Open Government Act) and AVG

Links to legal bases

  • Algemene verordening gegevensbescherming (AVG): https://wetten.overheid.nl/BWBR0040940
  • Wet Open Overheid (WOO): https://wetten.overheid.nl/BWBR0045754

Operations

Data

Personal data, mail addresses, phone numbers, bank account numbers, address details, signatures

Technical design

The algorithm works on the basis of white- and blacklists to locate the data to be anonymised in the documents submitted for anonymisation.

External provider

Bolesian

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