De-identified
De-identified refers to the process of removing or obscuring personally identifiable information (PII) from a dataset, in order to protect the privacy of individuals. This is often done in the context of data sharing, where sensitive information is shared with third parties for research or analysis purposes. De-identification can involve various techniques such as masking, aggregation, or perturbation, depending on the nature of the data and the level of privacy required. While de-identification can reduce the risk of re-identification, it is not foolproof and there is always a risk of re-identification if the data is combined with other sources of information. Therefore, it is important to carefully evaluate the risks and benefits of de-identification before sharing data.
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