Description: Quasi-identifiable data are those that, while not allowing for direct identification of an individual, can be used in combination with other data to do so. This data includes information such as postal codes, birth dates, or genders, which, on their own, are not sufficient to identify a person but can be linked to other datasets that do contain identifiable information. The main concern surrounding quasi-identifiable data lies in its potential to compromise individuals’ privacy, especially in a context where data collection and analysis have become ubiquitous. The ability to combine different data sources has led to an increase in the possibility of re-identification, where an individual can be identified from a dataset that initially appeared anonymous. This poses significant challenges for data protection and privacy, as organizations must be aware of how they handle and store this data, as well as the ethical and legal implications of its use. In summary, quasi-identifiable data are a critical component in the debate over privacy in the digital age, as improper handling can lead to privacy violations and unwanted exposure of personal information.
