Nota: La traducción de esta entrada está actualmente en revisión de calidad, por lo que parte del contenido se muestra temporalmente solo en inglés.
Esta entrada aún no se ha traducido a tu idioma, así que se muestra el original a continuación.
anonymization
This term describes a technical and legal procedure used primarily in data science, medicine, and law to strip identifiers from a dataset. It carries a connotation of security and compliance, often appearing in the context of GDPR or HIPAA regulations to ensure that individual identities cannot be reconstructed from the remaining data.
Because it refers to a specific process or a state of being, it is treated as an uncountable noun when discussing the general concept of removing identity. However, it can be used as a countable noun when referring to specific instances or different methods of performing the task, such as comparing various anonymization techniques.
Meanings
Examples
The company implemented strict anonymization to protect user privacy.
We need to ensure the anonymization of the patient records before the study begins.
Is the anonymization process sufficient to prevent re-identification?
Is the anonymization process sufficient to prevent re-identification?
The researcher focused on the anonymization of sensitive metadata.
I wonder if this level of anonymization is actually secure enough.
Proper anonymization is required by the new data protection laws.
Proper anonymization is required by the new data protection laws.
The dataset underwent thorough anonymization before being released to the public.
Let us double check the anonymization settings on the server.