Identification stripping refers to the deliberate removal of personal identifiers from data, such as names or Social Security numbers, to ensure anonymity. It is commonly used in research, data sharing, and analytics to protect privacy while preserving usability. Researchers, healthcare organizations, and companies benefit by complying with regulations like GDPR and HIPAA, enabling secure data analysis without compromising individual identities.
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