Data anonymization

Current consensus

Data anonymization refers to the process of removing or modifying the identifying variables contained in the dataset.

Explanation

Under the context of data anonymization, Identifying variables include: direct identifiers such as names, addresses, or registration numbers, and Indirect identifiers, which are characteristics that may be shared by several respondents, and whose combination could lead to the re-identification of one of them.