I. Overview

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flowchart LR
    A["Data protection\n(Regulation)"] -- "introducing pseudonymized data\n(safe reuse)" --> B["Data economy\n(Innovation)"]
    style A fill:#f9f9f9,stroke:#333,stroke-width:3px
    style B fill:#e1f5fe,stroke:#01579b,stroke-width:3px

Definition: The Data 3 Acts are a body of law, created by amending the Personal Information Protection Act, the Act on Promotion of Information and Communications Network Utilization, and the Credit Information Use and Protection Act, that clearly defines the scope of pseudonymizing and using personal information and unifies the surrounding legal framework.

Background and key value:
( Unifying regulation ) Consolidates personal-information-related laws that had been scattered across different ministries, preventing confusion in enforcement and improving efficiency.
( Enabling data use ) Establishes a legal basis for using pseudonymized data without the data subject’s consent for public-interest purposes such as statistics compilation and scientific research.
( Building trust ) Mandates technical and administrative safeguards, including a ban on re-identification, to balance protecting data subjects’ rights with driving industry innovation.

II. Mechanism & Components

Data Classification by Identifiability

flowchart LR
    A["Personal information\ndirectly identifies an individual"] -->|"pseudonymization"| B["Pseudonymized data\nnot identifiable without additional information"]
    B -->|"anonymization"| C["Anonymized data\ncompletely and irreversibly anonymous"]

    A --> A1["Data subject consent required\nlimited use"]
    B --> B1["Usable without consent\nstatistics / research / public-interest records"]
    C --> C1["Personal Information Protection Act\ndoes not apply, free use"]
CategoryDefinitionScope of Use
Personal informationInformation that can directly identify a specific individualLimited use with the data subject’s consent
Pseudonymized dataInformation processed so that a specific individual cannot be identified without additional informationStatistics compilation, scientific research, public-interest record preservation (usable without consent)
Anonymized dataInformation from which an individual can no longer be identified, considering time, cost, and technologyFree, unrestricted use (the Personal Information Protection Act does not apply)

Technical Protection Measures for Processing Pseudonymized Data

  • Preventing re-identification: Mandates separate storage of the additional information, access control, and physical/technical safeguards.
  • Prohibited acts: Re-identifying a specific individual is prohibited (violations carry administrative fines and criminal penalties).

III. Advanced Topics & Comparison

Combination Procedure for Pseudonymized Data (Between Different Data Controllers)

Combining pseudonymized data is, for security reasons, only permitted through a “specialized data combination institution,” and follows a 4-step procedure.

flowchart LR
    S1["1. Combination request\nstates the purpose\nuses a combination key"] --> S2["2. Performing the combination\nthe specialized institution\nlinks records via the key"]
    S2 --> S3["3. Adequacy review\nre-identification risk review\nwith external experts"]
    S3 --> S4["4. Release and use\nsafely released\nafter passing review"]

Detailed Comparison of Pseudonymized and Anonymized Data

Comparison ItemPseudonymous DataAnonymous Data
IdentifiabilityRelative anonymity (identifiable if combined with additional information)Absolute anonymity (irrecoverable)
Data UtilityHigh (individual-level analysis possible)Low (only statistical properties remain)
Applicability of the Personal Information Protection ActApplies (safeguard obligations apply)Does not apply (free circulation)
Liability on IncidentLegal penalties if re-identifiedNot applicable

Last updated 18 Aug 2026, 00:00 UTC. history