Anglais

anonymize

gb/ənˈɑnəmˌaɪz/ us/ənˈɑnəmˌaɪz/
C1 Anglais
Sens
0 sens
Verbe technical C1 action
1

remove identifying details

to remove names or personal details so people cannot know who someone is

Schéma d’usage : anonymize [data/documents/records/responses]
Erreur fréquente :
Do not confuse anonymize with simply keeping something secret; it usually means removing or changing identifying details.
Synonymes
de-identify (more technical, often used for medical, legal, or research data) | redact (means remove or black out information, but not always enough to make something anonymous) | mask (means hide or replace visible details, often only partly)
Antonymes
identify (means show or discover who someone is) | deanonymize (means reveal the identity behind anonymous data or communication) | re-identify (means connect anonymized data back to a specific person)
Collocations
anonymize data |anonymize personal information |anonymize records |anonymize a dataset |anonymize survey responses |anonymize user data |fully anonymize |properly anonymize |anonymize names |anonymize footage
Thèmes
privacy |data |technology |law |research
Exemples
  • The researchers anonymized the survey responses before sharing the results.
  • Hospitals must anonymize patient records before using them in public reports.
  • The platform says it anonymizes location data before selling it to advertisers.
Exemples pédagogiques
  • Please anonymize the names in this document.
  • The company anonymized the user data.
Grammaire
Forme canonique
anonymize
API
GB/ənˈɑnəmˌaɪz/
US/ənˈɑnəmˌaɪz/
Syllabes et accentuation
an - onym - ize (3 syllabes)
Stress on 2nd syllable (onym)
Formes du mot
Verb
  • Base: anonymize
  • 3rd Person Singular: anonymizes
  • Present Participle: anonymizing
  • Past: anonymized
  • Past Participle: anonymized
Expressions

anonymized data

1
/ənˈɑnəmˌaɪzd dˈætə/
fixed phrase technical

data without identifying details

information that has had personal details removed so it does not show who people are

Exemples
  • The report was based on anonymized data from thousands of app users.
  • Researchers were allowed to access only anonymized data, not names or addresses.
  • Even anonymized data can sometimes be re-identified if it contains enough details.

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