Description: Temporal anonymization is a data anonymization method that focuses on altering time-related attributes to protect individuals’ identities. This approach involves modifying or removing temporal information, such as dates and times, that could be linked to an individual’s identity. By doing so, it aims to ensure that data can be used for analysis and studies without compromising the privacy of the subjects involved. Temporal anonymization is particularly relevant in contexts where data is collected over time, such as in health studies, surveys, or behavior analysis. This method allows organizations to comply with data protection regulations, such as GDPR, by minimizing the risk of re-identification. Additionally, temporal anonymization can facilitate data sharing between institutions, promoting research and development without sacrificing participant confidentiality. In summary, temporal anonymization is a crucial tool in data management, enabling the responsible and ethical use of sensitive information.
