Anonymization - Research Data Management

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1. What is data anonymization? “Anonymization is the process of permanently removing or altering personally identifiable information (PII) from a dataset so that individuals cannot be identified, either directly or indirectly.” This differs from pseudonymization, where identifiers are replaced with coded values but can still be reconnected to the individual using a separate key.

   In Prospect data anonymization

2. What is data anonymization? “Once anonymized, the data should be non-identifiable and irreversible.” This differs from pseudonymization, where identifiers are replaced with coded values but can still be reconnected to the individual using a separate key.

   In Prospect data anonymization

3. Anonymization is the process of permanently removing or altering personally identifiable information (PII) from a dataset so that individuals cannot be identified, either directly or indirectly. Once anonymized, the data should be non-identifiable and irreversible. “This differs from pseudonymization, where identifiers are replaced with coded values but can still be reconnected to the individual using a separate key.” Why anonymize data?

   In Prospect data anonymization