One of the primary challenges in data anonymization is finding a balance between data utility and privacy. Effective anonymization should ensure that the data remains useful for research while being stripped of identifiable information. Additionally, the risk of re-identification is a significant concern, particularly when anonymized data are combined with other datasets. Other challenges include the complexity of data structures, the need for specialized tools and techniques, and the potential for data breaches.
