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. 2020 Mar;48(1):228-231.
doi: 10.1177/1073110520917025.

Lost in Anonymization - A Data Anonymization Reference Classification Merging Legal and Technical Considerations

Kerstin N Vokinger  1 , Daniel J Stekhoven  1 , Michael Krauthammer  1
Affiliations

Lost in Anonymization - A Data Anonymization Reference Classification Merging Legal and Technical Considerations

Kerstin N Vokinger et al. J Law Med Ethics. 2020 Mar.
No abstract available

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Conflict of interest statement

The authors have not conflicts to declare.

Figures

Figure 1
Figure 1
Schematic overview of classification for levels of data anonymization. While identifying and pseudonymized data contain the maximum degree of information and at the same time are the least anonymous. Pseudo-anonymized data dwell in a gradient dependent on the degree of applied irresversibility. The more anonymity is enforced, the less information is kept. The class of irreversibly anonymized data is reached, when re-identification is no longer possible.
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