Data anonymization involves removing or altering personal identifiers to prevent the identification of individuals. Techniques such as data masking, pseudonymization, and aggregation are used to anonymize data. For instance, personal identifiers can be replaced with unique codes, and detailed data can be aggregated into broader categories. Proper anonymization ensures that data can be used for research without compromising individual privacy.
