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Everything about Pseudonymization

Method for hiding personal data in databases

Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers, or pseudonyms. A single pseudonym for each replaced field or collection of replaced fields makes the data record less identifiable while remaining suitable for data analysis and data processing. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: PseudonymizationA 5-minute orientation
  2. Skim a recent paper: ALIIAS: Anonymization/Pseudonymization with LimeSurvey integration and II-factor Authentication for Scientific researchInfluential work since 2022
  3. Pick up a classic book: The Dark HalfThe most-reprinted book on the subject
  4. Read the landmark paper: A methodology for the pseudonymization of medical dataCited 116 times
  5. Go sideways: General Data Protection RegulationA closely related topic
  6. Go sideways: Data anonymizationA closely related topic

📖 Definitions

Noun The replacement of all data (in a database etc) that identifies a person with an artificial identifier or pseudonym.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics