juicebox-data-handling

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Juicebox data privacy and GDPR. Trigger: "juicebox data privacy", "juicebox gdpr".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Juicebox Data Handling ## Overview Juicebox AI processes people datasets for talent intelligence and analysis workflows. Data types include people search results, enriched profile records (employment history, skills, social links), analysis exports, and outreach logs. Profile data often contains personal information governed by GDPR, CCPA, and recruitment privacy regulations. All enrichment results must be handled with consent tracking, purpose limitation, and right-to-deletion support. Contact data requires field-level encryption and strict access controls to prevent unauthorized disclosure. ## Data Classification | Data Type | Sensitivity | Retention | Encryption | |-----------|-------------|-----------|------------| | Search results | Low | Session only (ephemeral) | TLS in transit | | Enriched profiles | High (PII) | Per data policy, max 1 year | AES-256 at rest | | Contact data (email/phone) | High (PII) | Until candidate objects or deletion | Field-level encryption | | Analysis exports | Medium | 90 days | AES-256 at rest | | Outreach logs | Medium | 6 months | AES-256 at rest | ## Data Import ```typescript interface JuiceboxProfile { id: string; name: string; email?: string; phone?: string; company: string; title: string; skills: string[]; source: string; enrichedAt: string; } async function importPeopleDataset(query: string, maxResults = 100): Promise<JuiceboxProfile[]> { const profiles: JuiceboxProfile[] = []; let offset = 0; do { const res =...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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