neekware/artifacts/bundle/skills/ra-qm-team/gdpr-dsgvo-expert

GDPR/DSGVO Expert

Tools and guidance for EU General Data Protection Regulation (GDPR) and German Bundesdatenschutzgesetz (BDSG) compliance.

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Table of Contents

• Tools
  • GDPR Compliance Checker
  • DPIA Generator
  • Data Subject Rights Tracker
• Reference Guides
• Workflows

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Tools

GDPR Compliance Checker

Scans codebases for potential GDPR compliance issues including personal data patterns and risky code practices.

# Scan a project directory
python scripts/gdpr_compliance_checker.py /path/to/project

# JSON output for CI/CD integration
python scripts/gdpr_compliance_checker.py . --json --output report.json

Detects:

• Personal data patterns (email, phone, IP addresses)
• Special category data (health, biometric, religion)
• Financial data (credit cards, IBAN)
• Risky code patterns:
  • Logging personal data
  • Missing consent mechanisms
  • Indefinite data retention
  • Unencrypted sensitive data
  • Disabled deletion functionality

Output:

• Compliance score (0-100)
• Risk categorization (critical, high, medium)
• Prioritized recommendations with GDPR article references

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DPIA Generator

Generates Data Protection Impact Assessment documentation following Art. 35 requirements.

# Get input template
python scripts/dpia_generator.py --template > input.json

# Generate DPIA report
python scripts/dpia_generator.py --input input.json --output dpia_report.md

Features:

• Automatic DPIA threshold assessment
• Risk identification based on processing characteristics
• Legal basis requirements documentation
• Mitigation recommendations
• Markdown report generation

DPIA Triggers Assessed:

• Systematic monitoring (Art. 35(3)(c))
• Large-scale special category data (Art. 35(3)(b))
• Automated decision-making (Art. 35(3)(a))
• WP29 high-risk criteria

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Data Subject Rights Tracker

Manages data subject rights requests under GDPR Articles 15-22.

# Add new request
python scripts/data_subject_rights_tracker.py add \
  --type access --subject "John Doe" --email "[email protected]"

# List all requests
python scripts/data_subject_rights_tracker.py list

# Update status
python scripts/data_subject_rights_tracker.py status --id DSR-202601-0001 --update verified

# Generate compliance report
python scripts/data_subject_rights_tracker.py report --output compliance.json

# Generate response template
python scripts/data_subject_rights_tracker.py template --id DSR-202601-0001

Supported Rights:

| Right | Article | Deadline | | ------------------- | ------- | -------- | | Access | Art. 15 | 30 days | | Rectification | Art. 16 | 30 days | | Erasure | Art. 17 | 30 days | | Restriction | Art. 18 | 30 days | | Portability | Art. 20 | 30 days | | Objection | Art. 21 | 30 days | | Automated decisions | Art. 22 | 30 days |

Features:

• Deadline tracking with overdue alerts
• Identity verification workflow
• Response template generation
• Compliance reporting

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Reference Guides

GDPR Compliance Guide

references/gdpr_compliance_guide.md

Comprehensive implementation guidance covering:

• Legal bases for processing (Art. 6)
• Special category requirements (Art. 9)
• Data subject rights implementation
• Accountability requirements (Art. 30)
• International transfers (Chapter V)
• Breach notification (Art. 33-34)

German BDSG Requirements

references/german_bdsg_requirements.md

German-specific requirements including:

• DPO appointment threshold (§ 38 BDSG - 20+ employees)
• Employment data processing (§ 26 BDSG)
• Video surveillance rules (§ 4 BDSG)
• Credit scoring requirements (§ 31 BDSG)
• State data protection laws (Landesdatenschutzgesetze)
• Works council co-determination rights

DPIA Methodology

references/dpia_methodology.md

Step-by-step DPIA process:

• Threshold assessment criteria
• WP29 high-risk indicators
• Risk assessment methodology
• Mitigation measure categories
• DPO and supervisory authority consultation
• Templates and checklists

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Workflows

Workflow 1: New Processing Activity Assessment

Step 1: Run compliance checker on codebase
        → python scripts/gdpr_compliance_checker.py /path/to/code

Step 2: Review findings and compliance score
        → Address critical and high issues

Step 3: Determine if DPIA required
        → Check references/dpia_methodology.md threshold criteria

Step 4: If DPIA required, generate assessment
        → python scripts/dpia_generator.py --template > input.json
        → Fill in processing details
        → python scripts/dpia_generator.py --input input.json --output dpia.md

Step 5: Document in records of processing activities

Workflow 2: Data Subject Request Handling

Step 1: Log request in tracker
        → python scripts/data_subject_rights_tracker.py add --type [type] ...

Step 2: Verify identity (proportionate measures)
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update verified

Step 3: Gather data from systems
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update in_progress

Step 4: Generate response
        → python scripts/data_subject_rights_tracker.py template --id [ID]

Step 5: Send response and complete
        → python scripts/data_subject_rights_tracker.py status --id [ID] --update completed

Step 6: Monitor compliance
        → python scripts/data_subject_rights_tracker.py report

Workflow 3: German BDSG Compliance Check

Step 1: Determine if DPO required
        → 20+ employees processing personal data automatically
        → OR processing requires DPIA
        → OR business involves data transfer/market research

Step 2: If employees involved, review § 26 BDSG
        → Document legal basis for employee data
        → Check works council requirements

Step 3: If video surveillance, comply with § 4 BDSG
        → Install signage
        → Document necessity
        → Limit retention

Step 4: Register DPO with supervisory authority
        → See references/german_bdsg_requirements.md for authority list

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Key GDPR Concepts

Legal Bases (Art. 6)

• Consent: Marketing, newsletters, analytics (must be freely given, specific, informed)
• Contract: Order fulfillment, service delivery
• Legal obligation: Tax records, employment law
• Legitimate interests: Fraud prevention, security (requires balancing test)

Special Category Data (Art. 9)

Requires explicit consent or Art. 9(2) exception:

• Health data
• Biometric data
• Racial/ethnic origin
• Political opinions
• Religious beliefs
• Trade union membership
• Genetic data
• Sexual orientation

Data Subject Rights

All rights must be fulfilled within 30 days (extendable to 90 for complex requests):

• Access: Provide copy of data and processing information
• Rectification: Correct inaccurate data
• Erasure: Delete data (with exceptions for legal obligations)
• Restriction: Limit processing while issues are resolved
• Portability: Provide data in machine-readable format
• Object: Stop processing based on legitimate interests

German BDSG Additions

| Topic | BDSG Section | Key Requirement | | ------------- | ------------ | ----------------------------- | | DPO threshold | § 38 | 20+ employees = mandatory DPO | | Employment | § 26 | Detailed employee data rules | | Video | § 4 | Signage and proportionality | | Scoring | § 31 | Explainable algorithms |

Creator: Ra Qm Team License: MIT Source Repo: neekware/ehaye-skills Source Bucket: ra-qm-team Original Path: ra-qm-team/gdpr-dsgvo-expert