Can you explain what pseudonymization is?
Pseudonymization is a data processing technique that replaces private identifiers with fake identifiers or pseudonyms.
How does it help in protecting personal data?
It reduces the risk of identifying individuals from data sets, making it safer for analysis and sharing.
Is pseudonymization the same as anonymization?
No, pseudonymization allows for re-identification under certain conditions, while anonymization permanently removes identifiers.
What are some examples of pseudonymization in practice?
Common examples include replacing names with codes in medical records or using user IDs instead of personal information in databases.
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