reidentification
- noun
- /ˌriːˌaɪdɛntɪfɪˈkeɪʃən/
- Specialized
:
reidentificación
- Data scientists must implement robust protocols to minimize the risk of reidentification of subjects from anonymized datasets.
Examples
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Researchers must consider the possibility of reidentification when sharing anonymized health records.
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The risk of reidentification increases when multiple datasets are combined.
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Strict safeguards are needed to prevent reidentification of personal information.
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The reidentification of anonymous data is crucial for privacy.
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Can you explain the process of reidentification?
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The ability to track consumer behavior raises concerns about reidentification in marketing research.
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Legal guidelines are necessary to address the ethical implications of reidentification in medical studies.
Synonyms
107
3.1
Finding out who a person or thing is
8
4.8
Clear proof that a person is who they say they are
1
3.6
A process of checking documents or fingerprints to confirm someone really is who they say they are
How Certain
34
3.9
150
2.0
- Specialized
107
3.1
288
4.8
Surface Forms
Morphology
reidentification = identification (semi-transparent) = re + identification
While the composition 're-' + 'identification' is clear, the sense as a technical privacy procedure (recovering identity from de-identified data) is domain-specific and may not be obvious to general learners.
Etymology
Reidentification combines re- ('again') and identify ('to show who someone is'), like finding an ID inside data. So, in privacy and data work, it means matching anonymous information back to the person it belongs to.