Angielski

anonymize

gb/ənˈɑnəmˌaɪz/ us/ənˈɑnəmˌaɪz/
C1 Angielski
Znaczenia
0 znaczeń
Czasownik technical C1 action
1

remove identifying details

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

Schemat użycia: anonymize [data/documents/records/responses]
Częsty błąd:
Do not confuse anonymize with simply keeping something secret; it usually means removing or changing identifying details.
Synonimy
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)
Antonimy
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)
Kolokacje
anonymize data |anonymize personal information |anonymize records |anonymize a dataset |anonymize survey responses |anonymize user data |fully anonymize |properly anonymize |anonymize names |anonymize footage
Tematy
privacy |data |technology |law |research
Przykłady
  • 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.
Przykłady dla uczących się
  • Please anonymize the names in this document.
  • The company anonymized the user data.
Gramatyka
Forma słownikowa
anonymize
IPA
GB/ənˈɑnəmˌaɪz/
US/ənˈɑnəmˌaɪz/
Sylaby i akcent
an - onym - ize (3 sylaby)
Stress on 2nd syllable (onym)
Formy wyrazu
Verb
  • Base: anonymize
  • 3rd Person Singular: anonymizes
  • Present Participle: anonymizing
  • Past: anonymized
  • Past Participle: anonymized
Wyrażenia

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

Przykłady
  • 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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