Читать книгу Privacy and Data Protection based on the GDPR - Leo Besemer - Страница 41

Anonymization means that all information by which the person to whom the data relates can be identified directly or indirectly, is removed. Anonymized data on a person is not considered personal data. Pseudonymized data can be anonymized by destroying the key.

Example: For research on health and eating habits a selected group of data subjects is called. Names, telephone numbers and other data of the data subjects are known and kept in a database, for which the data subjects gave their permission.

The data subjects are called multiple times during the research. Once the research period is over, all identifiable data is erased after gathering the information needed for the research. This means that the data can no longer be linked to the specific data subjects, because no key exists. Only more general personal data like gender and age category are linked to the data about health and eating habits. In other words, the data that is left after the research is anonymized.