enEnglish
CROS

Anonymization

Document date: 
Sunday, 28 April, 2019
Language: 
English

Anonymization

DEFINITION:
Anonymization is the process of creating anonymous information, namely information which does not relate to an identified or identifiable natural person or to Personal data rendered anonymous in such a manner that the data subject is not or no longer identifiable.

SOURCES:

Primary source: EUR-Lex, (REGULATION (EU) 2016/679, 2016)

Secondary source: NIST

INTERPRETATION:

Anonymization is an irreversible process that removes the ability to identify the data subjects. For publication and storage of anonymized data issues of consent do not apply. Anonymization is not only important for Personal data (for example health data) but also for population units in other domains, for example, business data.

CONTEXT:

Publication of statistical tables requires usually Anonymization and other methods for respecting the legal rules for privacy of statistical information.

Anonymization is often not the preferred strategy for the use of Administrative data in the statistical production process because it devaluates the data for any further use. Instead Pseudonymisation is used.

ADDITIONAL INFORMATION:

Tools for Anonymization of Personal data are Data hashing techniques (one way hashing) and encryption techniques in which the decryption key has been discarded. In statistics frequently used techniques for statistical output are data swapping, random perturbation or generalisation (aggregation at a higher level).

RELATED TERMS:

Data hashing, Disclosive cell, Indirect identification, Personal data, Pseudonymisation, Re-identification, Statistical unit

Cross-linked glossary TOP

Document data sheet

Related content: