deid
Deid, short for de-identification, is the process of removing or masking personal information from data to prevent the identification of individuals. It is used to enable data sharing and secondary use of data while reducing privacy risks. De-identification applies across domains such as healthcare, social science, and public data, and covers both direct identifiers (names, addresses, social security numbers) and indirect identifiers (age, location, dates, or unique combinations) that could enable re-identification.
Methods and approaches include anonymization, pseudonymization, and more formal privacy frameworks. Anonymization permanently removes identifiers and
Applications include sharing medical records for research, epidemiology, and public health surveillance, as well as releasing
Challenges include residual risk of re-identification through data linkage, data utility loss from masking, and the