Description: Data re-identification is the process of matching anonymized data with its original source, thereby allowing the identification of specific individuals. This phenomenon occurs when, despite the data being stripped of personally identifiable information, techniques or additional information are used to re-associate that data with the individuals to whom it belongs. Re-identification can happen intentionally or accidentally, raising serious concerns regarding privacy and information security. As databases become more complex and multiple data sources are combined, the risk of re-identification increases. This is particularly relevant in contexts where large volumes of data are handled, such as in various sectors like healthcare, social research, marketing, and others that rely on data analysis. Re-identification not only affects individuals but can also have legal and ethical implications for organizations handling sensitive data. Therefore, it is crucial for entities working with anonymized data to implement appropriate measures to mitigate the risk of re-identification and protect individuals’ privacy.
