What is meant by the term "data anonymization"?

The term "data anonymization" specifically refers to the process of removing personally identifiable information from data sets. This is done to protect individual identities and ensure that their information cannot be traced back to them. When data is anonymized, any details that could link back to a specific person, such as names, addresses, or social security numbers, are either removed or altered, making it impossible to identify the individuals involved.

This process is crucial in contexts where data is used for analysis or research, as it allows for the use of valuable information without compromising personal privacy. Anonymization is a key component in complying with various privacy regulations, as it helps organizations mitigate risks associated with data breaches and the misuse of sensitive information. Protecting individual identities encourages public trust and supports ethical data practices, especially in sensitive areas like healthcare or demographic studies.