While maintaining anonymity is crucial, it is not without its challenges:
Re-identification Risk: Even de-identified data can sometimes be re-identified by combining it with other data sources. Data Utility: Overly strict anonymization can sometimes reduce the utility of data for research purposes. Technological Limitations: The constant evolution of data science technologies makes it challenging to stay ahead of potential anonymity breaches.
