Anonymization
Anonymization is the process of removing or altering personal information from data so that individuals cannot be identified. This is often done to protect privacy while still allowing data to be used for analysis or research. For example, in a survey, instead of including names or specific locations, responses might be grouped or represented in a way that keeps the information useful but ensures that no one can trace it back to an individual. Anonymization is crucial in areas like healthcare and social research, where sensitive information needs to be handled responsibly.
Additional Insights
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Anonymization is the process of removing or altering personal information from data sets so that individuals cannot be identified. This is often done to protect privacy while still allowing data to be used for analysis or research. For example, names and addresses can be replaced with codes or removed entirely. Anonymization helps organizations share information safely, ensuring that sensitive details about individuals are not disclosed, thus reducing the risk of privacy breaches and misuse of data.