Juicebox Data Handling

Overview

Implement compliant data handling practices for personal and candidate data from Juicebox.

Prerequisites

• Understanding of applicable privacy regulations (GDPR, CCPA)
• Data classification framework
• Legal/compliance team sign-off

Instructions

1. Step 1: Data Classification System
2. Step 2: PII Handling
3. Step 3: Retention Policies
4. Step 4: Data Subject Rights
5. Step 5: Access Logging

For full implementation details and code examples, load: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)

Output

• Data classification system
• PII handling utilities
• Retention policy enforcement
• Data subject rights handlers

Resources

• Juicebox Privacy Policy
• GDPR Guidelines

Next Steps

After data handling, see juicebox-enterprise-rbac for access controls.

Error Handling

Error	Cause	Resolution
Authentication failure	Invalid or expired credentials	Refresh tokens or re-authenticate with ORM
Configuration conflict	Incompatible settings detected	Review and resolve conflicting parameters
Resource not found	Referenced resource missing	Verify resource exists and permissions are correct

Examples

Basic usage: Apply juicebox data handling to a standard project setup with default configuration options.

Advanced scenario: Customize juicebox data handling for production environments with multiple constraints and team-specific requirements.