De-identification technique
A de-identification technique removes or alters identifying information in data to reduce the likelihood that it can be associated with specific individuals.
First-Party Data Activation
A de-identification technique alters or limits data so that individuals are less readily identifiable from it.
- How it is used
- Protects privacy during data sourcing by limiting unnecessary collection and reducing re-identification risk.
- How deep it goes
- Names pseudonymization, differential privacy, and k-anonymity but does not explain their implementation details.
- Examples
- Uses an e-commerce example that omits unnecessary demographic details while retaining minimal purchase data.
- What you can do after
- Apply it by selecting privacy-preserving techniques and minimizing collection before data enters analytical systems.
Read how First-Party Data Activation explains de-identification technique →
Data for All
Data deidentification is the removal or alteration of identifying attributes from records to reduce their association with specific individuals.
- How it is used
- Frames data handling as a trade-off between reducing obvious identifiers and preserving the risks of uniquely identifying information.
- How deep it goes
- Distinguishes attribute stripping from true anonymity but stops short of technical re-identification methods.
- Examples
- Uses a DNA database that removes names, addresses, demographics, and body weight while retaining complete genomes.
- What you can do after
- Evaluate de-identification claims by separating legal compliance from the possibility of continued personal identification.
Read how Data for All explains de-identification technique →
Related concepts
- pseudonymizationincludes · Pseudonymization is the replacement of identifying information with artificial identifiers so that attribution to a person requires separately held additional information.
- k-anonymityincludes · K-anonymity is a privacy property requiring each record to be indistinguishable from at least k−1 other records with respect to specified identifying attributes.
- differential privacyincludes · Differential privacy is a mathematical privacy guarantee that bounds how much an individual’s data can affect the output of a computation, often by adding calibrated randomness.
- techniquekind of · A technique is a deliberate, systematic, and repeatable method for performing a task, solving a problem, or achieving a desired result.
- genomecontrasts with · A genome is the complete encoded set of genetic material in an organism or the encoded representation of a candidate solution in evolutionary computation.
- re-identificationaddresses · Re-identification is the process of linking supposedly anonymized or de-identified data to a specific individual.
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