proxydatan
Proxydatan is a term that refers to data that has been anonymized or pseudonymized to protect the privacy of individuals. This type of data is often used in research, analytics, and machine learning applications where access to sensitive information is required, but direct identification of individuals is not permissible. The process of creating proxydatan involves techniques such as generalization, suppression, and perturbation to obscure personally identifiable information (PII).
The primary goal of proxydatan is to enable the use of data for valuable purposes while mitigating
Different levels of anonymization exist, and the effectiveness of proxydatan depends on the specific techniques used