Legal Test Data Strategy
Blend Japan's Industrial Safety and Health Act, APPI, and My Number requirements into safe regression datasets so HR, payroll, and analytics teams can validate flows without touching production records.
Compliance disclaimer
DataGen Pro schemas draw on public regulations but do not guarantee compliance. Work with your legal and compliance teams to validate retention rules, masking levels, and usage scope before rollout.
Compliance-friendly test data reproduces regulatory attributes and retention rules so you can run realistic QA, integration, and audit rehearsals while keeping production data locked down.
The compliance category in DataGen Pro ships with ready-made schemas. Use these field definitions and legal references to streamline internal reviews.
| Field | Description | Reference |
|---|---|---|
| record_id | Record identifier (UUID v4) | Identifier for audit traceability |
| employee_id | Internal employee ID (alphanumeric, 8 chars) | Industrial Safety and Health Act—health exam record management |
| consent_flag | Recorded consent status (true/false) | APPI Article 16 |
| masking_level | Anonymization level (low/medium/high) | APPI—anonymized information |
| retention_period_days | Retention window in days | Industrial Safety and Health Regulations Article 51 |
| last_updated_at | Last update timestamp (ISO 8601) | Internal controls and audit trail |
Adopt naming rules that both engineering and compliance teams understand. Because DataGen Pro relies on JSON Schema, you can integrate the same structure into CI/CD pipelines with minimal effort.
Document statutory, contractual, and corporate policies, then classify identifiers, special categories, and anonymised datasets.
Adapt DataGen Pro templates, adjust mandatory fields, retention windows, and masking rules, and sign off with stakeholders.
Track generation history, recipients, and disposal deadlines; limit access and retain evidence for audits. Capture ja-JP and en-US outputs via the locale option so reviewers see both versions before release.
Feed audit findings and law updates back into the template so every team reuses the same governance checklist.
A. Yes—when you capture generation, distribution, and disposal logs plus schema change history. Run an internal controls review ahead of external audits.
A. Compare statistical metrics such as volume, distribution, and anomaly ratios rather than personal data. Automating delta reports keeps anonymisation quality visible.
A. Extend the JSON Schema for GDPR, CCPA, or other regimes and adjust retention/masking with guidance from local experts.
All schemas ship as MIT-licensed JSON definitions, so you can plug them into CI/CD pipelines or internal templates without friction.