De-identification is the process of removing or altering personal information from a dataset so that individuals cannot be readily identified. This practice is crucial in maintaining confidentiality and anonymity, especially in research, where participants' privacy must be protected while still allowing for data analysis and findings to be shared. De-identification balances the need for data utility with the obligation to safeguard sensitive information.
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