π€system promptβ’7 months ago
gdpr-data-handling
Implement GDPR-compliant data handling with consent management,
# GDPR Data Handling
Practical implementation guide for GDPR-compliant data processing, consent management, and privacy controls.
## When to Use This Skill
- Building systems that process EU personal data
- Implementing consent management
- Handling data subject requests (DSRs)
- Conducting GDPR compliance reviews
- Designing privacy-first architectures
- Creating data processing agreements
## Core Concepts
### 1. Personal Data Categories
| Category | Examples | Protection Level |
| ---------------------- | --------------------------- | ------------------ |
| **Basic** | Name, email, phone | Standard |
| **Sensitive (Art. 9)** | Health, religion, ethnicity | Explicit consent |
| **Criminal (Art. 10)** | Convictions, offenses | Official authority |
| **Children's** | Under 16 data | Parental consent |
### 2. Legal Bases for Processing
```
Article 6 - Lawful Bases:
βββ Consent: Freely given, specific, informed
βββ Contract: Necessary for contract performance
βββ Legal Obligation: Required by law
βββ Vital Interests: Protecting someone's life
βββ Public Interest: Official functions
βββ Legitimate Interest: Balanced against rights
```
### 3. Data Subject Rights
```
Right to Access (Art. 15) ββ
Right to Rectification (Art. 16) β
Right to Erasure (Art. 17) β Must respond
Right to Restrict (Art. 18) β within 1 month
Right to Portability (Art. 20) β
Right to Object (Art. 21) ββ
```
## Implementation Patterns
### Pattern 1: Consent Management
```javascript
// Consent data model
const consentSchema = {
userId: String,
consents: [
{
purpose: String, // 'marketing', 'analytics', etc.
granted: Boolean,
timestamp: Date,
source: String, // 'web_form', 'api', etc.
version: String, // Privacy policy version
ipAddress: String, // For proof
userAgent: String, // For proof
},
],
auditLog: [
{
action: String, // 'granted', 'withdrawn', 'updated'
purpose: String,
timestamp: Date,
source: String,
},
],
};
// Consent service
class ConsentManager {
async recordConsent(userId, purpose, granted, metadata) {
const consent = {
purpose,
granted,
timestamp: new Date(),
source: metadata.source,
version: await this.getCurrentPolicyVersion(),
ipAddress: metadata.ipAddress,
userAgent: metadata.userAgent,
};
// Store consent
await this.db.consents.updateOne(
{ userId },
{
$push: {
consents: consent,
auditLog: {
action: granted ? "granted" : "withdrawn",
purpose,
timestamp: consent.timestamp,
source: metadata.source,
},
},
},
{ upsert: true },
);
// Emit event for downstream systems
await this.eventBus.emit("consent.changed", {
userId,
purpose,
granted,
timestamp: consent.timestamp,
});
}
async hasConsent(userId, purpose) {
const record = await this.db.consents.findOne({ userId });
if (!record) return false;
const latestConsent = record.consents
.filter((c) => c.purpose === purpose)
.sort((a, b) => b.timestamp - a.timestamp)[0];
return latestConsent?.granted === true;
}
async getConsentHistory(userId) {
const record = await this.db.consents.findOne({ userId });
return record?.auditLog || [];
}
}
```
```html
<!-- GDPR-compliant consent UI -->
<div class="consent-banner" role="dialog" aria-labelledby="consent-title">
<h2 id="consent-title">Cookie Preferences</h2>
<p>
We use cookies to improve your experience. Select your preferences below.
</p>
<form id="consent-form">
<!-- Necessary - always on, no consent needed -->
<div class="consent-category">
<input type="checkbox" id="necessary" checked disabled />
<label for="necessary">
<strong>Necessary</strong>
<span>Required for the website to function. Cannot be disabled.</span>
</label>
</div>
<!-- Analytics - requires consent -->
<div class="consent-category">
<input type="checkbox" id="analytics" name="analytics" />
<label for="analytics">
<strong>Analytics</strong>
<span>Help us understand how you use our site.</span>
</label>
</div>
<!-- Marketing - requires consent -->
<div class="consent-category">
<input type="checkbox" id="marketing" name="marketing" />
<label for="marketing">
<strong>Marketing</strong>
<span>Personalized ads based on your interests.</span>
</label>
</div>
<div class="consent-actions">
<button type="button" id="accept-all">Accept All</button>
<button type="button" id="reject-all">Reject All</button>
<button type="submit">Save Preferences</button>
</div>
<p class="consent-links">
<a href="/privacy-policy">Privacy Policy</a> |
<a href="/cookie-policy">Cookie Policy</a>
</p>
</form>
</div>
```
### Pattern 2: Data Subject Access Request (DSAR)
```python
from datetime import datetime, timedelta
from typing import Dict, List, Optional
import json
class DSARHandler:
"""Handle Data Subject Access Requests."""
RESPONSE_DEADLINE_DAYS = 30
EXTENSION_ALLOWED_DAYS = 60 # For complex requests
def __init__(self, data_sources: List['DataSource']):
self.data_sources = data_sources
async def submit_request(
self,
request_type: str, # 'access', 'erasure', 'rectification', 'portability'
user_id: str,
verified: bool,
details: Optional[Dict] = None
) -> str:
"""Submit a new DSAR."""
request = {
'id': self.generate_request_id(),
'type': request_type,
'user_id': user_id,
'status': 'pending_verification' if not verified else 'processing',
'submitted_at': datetime.utcnow(),
'deadline': datetime.utcnow() + timedelta(days=self.RESPONSE_DEADLINE_DAYS),
'details': details or {},
'audit_log': [{
'action': 'submitted',
'timestamp': datetime.utcnow(),
'details': 'Request received'
}]
}
await self.db.dsar_requests.insert_one(request)
await self.notify_dpo(request)
return request['id']
async def process_access_request(self, request_id: str) -> Dict:
"""Process a data access request."""
request = await self.get_request(request_id)
if request['type'] != 'access':
raise ValueError("Not an access request")
# Collect data from all sources
user_data = {}
for source in self.data_sources:
try:
data = await source.get_user_data(request['user_id'])
user_data[source.name] = data
except Exception as e:
user_data[source.name] = {'error': str(e)}
# Format response
response = {
'request_id': request_id,
'generated_at': datetime.utcnow().isoformat(),
'data_categories': list(user_data.keys()),
'data': user_data,
'retention_info': await self.get_retention_info(),
'processing_purposes': await self.get_processing_purposes(),
'third_party_recipients': await self.get_recipients()
}
# Update request status
await self.update_request(request_id, 'completed', response)
return response
async def process_erasure_request(self, request_id: str) -> Dict:
"""Process a right to erasure request."""
request = await self.get_request(request_id)
if request['type'] != 'erasure':
raise ValueError("Not an erasure request")
results = {}
exceptions = []
for source in self.data_sources:
try:
# Check for legal exceptions
can_delete, reason = await source.can_delete(request['user_id'])
if can_delete:
await source.delete_user_data(request['user_id'])
results[source.name] = 'deleted'
else:
exceptions.append({
'source': source.name,
'reason': reason # e.g., 'legal retention requirement'
})
results[source.name] = f'retained: {reason}'
except Exception as e:
results[source.name] = f'error: {str(e)}'
response = {
'request_id': request_id,
'completed_at': datetime.utcnow().isoformat(),
'results': results,
'exceptions': exceptions
}
await self.update_request(request_id, 'completed', response)
return response
async def process_portability_request(self, request_id: str) -> bytes:
"""Generate portable data export."""
request = await self.get_request(request_id)
user_data = await self.process_access_request(request_id)
# Convert to machine-readable format (JSON)
portable_data = {
'export_date': datetime.utcnow().isoformat(),
'format_version': '1.0',
'data': user_data['data']
}
return json.dumps(portable_data, indent=2, default=str).encode()
```
### Pattern 3: Data Retention
```python
from datetime import datetime, timedelta
from enum import Enum
class RetentionBasis(Enum):
CONSENT = "consent"
CONTRACT = "contract"
LEGAL_OBLIGATION = "legal_obligation"
LEGITIMATE_INTEREST = "legitimate_interest"
class DataRetentionPolicy:
"""Define and enforce data retention policies."""
POLICIES = {
'user_account': {
'retention_period_days': 365 * 3, # 3 years after last activity
'basis': RetentionBasis.CONTRACT,
'trigger': 'last_activity_date',
'archive_before_delete': True
},
'transaction_records': {
'retention_period_days': 365 * 7, # 7 years for tax
'basis': RetentionBasis.LEGAL_OBLIGATION,
'trigger': 'transaction_date',
'archive_before_delete': True,
'legal_reference': 'Tax regulations require 7 year retention'
},
'marketing_consent': {
'retention_period_days': 365 * 2, # 2 years
'basis': RetentionBasis.CONSENT,
'trigger': 'consent_date',
'archive_before_delete': False
},
'support_tickets': {
'retention_period_days': 365 * 2,
'basis': RetentionBasis.LEGITIMATE_INTEREST,
'trigger': 'ticket_closed_date',
'archive_before_delete': True
},
'analytics_data': {
'retention_period_days': 365, # 1 year
'basis': RetentionBasis.CONSENT,
'trigger': 'collection_date',
'archive_before_delete': False,
'anonymize_instead': True
}
}
async def apply_retention_policies(self):
"""Run retention policy enforcement."""
for data_type, policy in self.POLICIES.items():
cutoff_date = datetime.utcnow() - timedelta(
days=policy['retention_period_days']
)
if policy.get('anonymize_instead'):
await self.anonymize_old_data(data_type, cutoff_date)
else:
if policy.get('archive_before_delete'):
await self.archive_data(data_type, cutoff_date)
await self.delete_old_data(data_type, cutoff_date)
await self.log_retention_action(data_type, cutoff_date)
async def anonymize_old_data(self, data_type: str, before_date: datetime):
"""Anonymize data instead of deleting."""
# Example: Replace identifying fields with hashes
if data_type == 'analytics_data':
await self.db.analytics.update_many(
{'collection_date': {'$lt': before_date}},
{'$set': {
'user_id': None,
'ip_address': None,
'device_id': None,
'anonymized': True,
'anonymized_date': datetime.utcnow()
}}
)
```
### Pattern 4: Privacy by Design
```python
class PrivacyFirstDataModel:
"""Example of privacy-by-design data model."""
# Separate PII from behavioral data
user_profile_schema = {
'user_id': str, # UUID, not sequential
'email_hash': str, # Hashed for lookups
'created_at': datetime,
# Minimal data collection
'preferences': {
'language': str,
'timezone': str
}
}
# Encrypted at rest
user_pii_schema = {
'user_id': str,
'email': str, # Encrypted
'name': str, # Encrypted
'phone': str, # Encrypted (optional)
'address': dict, # Encrypted (optional)
'encryption_key_id': str
}
# Pseudonymized behavioral data
analytics_schema = {
'session_id': str, # Not linked to user_id
'pseudonym_id': str, # Rotating pseudonym
'events': list,
'device_category': str, # Generalized, not specific
'country': str, # Not city-level
}
class DataMinimization:
"""Implement data minimization principles."""
@staticmethod
def collect_only_needed(form_data: dict, purpose: str) -> dict:
"""Filter form data to only fields needed for purpose."""
REQUIRED_FIELDS = {
'account_creation': ['email', 'password'],
'newsletter': ['email'],
'purchase': ['email', 'name', 'address', 'payment'],
'support': ['email', 'message']
}
allowed = REQUIRED_FIELDS.get(purpose, [])
return {k: v for k, v in form_data.items() if k in allowed}
@staticmethod
def generalize_location(ip_address: str) -> str:
"""Generalize IP to country level only."""
import geoip2.database
reader = geoip2.database.Reader('GeoLite2-Country.mmdb')
try:
response = reader.country(ip_address)
return response.country.iso_code
except:
return 'UNKNOWN'
```
### Pattern 5: Breach Notification
```python
from datetime import datetime
from enum import Enum
class BreachSeverity(Enum):
LOW = "low"
MEDIUM = "medium"
HIGH = "high"
CRITICAL = "critical"
class BreachNotificationHandler:
"""Handle GDPR breach notification requirements."""
AUTHORITY_NOTIFICATION_HOURS = 72
AFFECTED_NOTIFICATION_REQUIRED_SEVERITY = BreachSeverity.HIGH
async def report_breach(
self,
description: str,
data_types: List[str],
affected_count: int,
severity: BreachSeverity
) -> dict:
"""Report and handle a data breach."""
breach = {
'id': self.generate_breach_id(),
'reported_at': datetime.utcnow(),
'description': description,
'data_types_affected': data_types,
'affected_individuals_count': affected_count,
'severity': severity.value,
'status': 'investigating',
'timeline': [{
'event': 'breach_reported',
'timestamp': datetime.utcnow(),
'details': description
}]
}
await self.db.breaches.insert_one(breach)
# Immediate notifications
await self.notify_dpo(breach)
await self.notify_security_team(breach)
# Authority notification required within 72 hours
if self.requires_authority_notification(severity, data_types):
breach['authority_notification_deadline'] = (
datetime.utcnow() + timedelta(hours=self.AUTHORITY_NOTIFICATION_HOURS)
)
await self.schedule_authority_notification(breach)
# Affected individuals notification
if severity.value in [BreachSeverity.HIGH.value, BreachSeverity.CRITICAL.value]:
await self.schedule_individual_notifications(breach)
return breach
def requires_authority_notification(
self,
severity: BreachSeverity,
data_types: List[str]
) -> bool:
"""Determine if supervisory authority must be notified."""
# Always notify for sensitive data
sensitive_types = ['health', 'financial', 'credentials', 'biometric']
if any(t in sensitive_types for t in data_types):
return True
# Notify for medium+ severity
return severity in [BreachSeverity.MEDIUM, BreachSeverity.HIGH, BreachSeverity.CRITICAL]
async def generate_authority_report(self, breach_id: str) -> dict:
"""Generate report for supervisory authority."""
breach = await self.get_breach(breach_id)
return {
'organization': {
'name': self.config.org_name,
'contact': self.config.dpo_contact,
'registration': self.config.registration_number
},
'breach': {
'nature': breach['description'],
'categories_affected': breach['data_types_affected'],
'approximate_number_affected': breach['affected_individuals_count'],
'likely_consequences': self.assess_consequences(breach),
'measures_taken': await self.get_remediation_measures(breach_id),
'measures_proposed': await self.get_proposed_measures(breach_id)
},
'timeline': breach['timeline'],
'submitted_at': datetime.utcnow().isoformat()
}
```
## Compliance Checklist
```markdown
## GDPR Implementation Checklist
### Legal Basis
- [ ] Documented legal basis for each processing activity
- [ ] Consent mechanisms meet GDPR requirements
- [ ] Legitimate interest assessments completed
### Transparency
- [ ] Privacy policy is clear and accessible
- [ ] Processing purposes clearly stated
- [ ] Data retention periods documented
### Data Subject Rights
- [ ] Access request process implemented
- [ ] Erasure request process implemented
- [ ] Portability export available
- [ ] Rectification process available
- [ ] Response within 30-day deadline
### Security
- [ ] Encryption at rest implemented
- [ ] Encryption in transit (TLS)
- [ ] Access controls in place
- [ ] Audit logging enabled
### Breach Response
- [ ] Breach detection mechanisms
- [ ] 72-hour notification process
- [ ] Breach documentation system
### Documentation
- [ ] Records of processing activities (Art. 30)
- [ ] Data protection impact assessments
- [ ] Data processing agreements with vendors
```
## Best Practices
### Do's
- **Minimize data collection** - Only collect what's needed
- **Document everything** - Processing activities, legal bases
- **Encrypt PII** - At rest and in transit
- **Implement access controls** - Need-to-know basis
- **Regular audits** - Verify compliance continuously
### Don'ts
- **Don't pre-check consent boxes** - Must be opt-in
- **Don't bundle consent** - Separate purposes separately
- **Don't retain indefinitely** - Defi
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