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Data anonymization refers to
|“|| technology that converts clear text data into a nonhuman readable and irreversible form, including but not limited to preimage resistant hashes (e.g., one-way hashes) and encryption techniques in which the decryption key has been discarded. Data is considered anonymized even when conjoined with pointer or pedigree values that direct the user to the originating system, record, and value (e.g., supporting selective revelation) and when anonymized records can be associated, matched, and/or conjoined with other anonymized records.
Data anonymization enables the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization.