Employee Data Management and Compliance

Estratto della scheda di revisione

1. 📌 Essentials

  • Personalakte: collection of all employment-related documents.
  • GDPR (EU-DSGVO): primary data protection regulation in the EU.
  • Data categories: personal data and data (health, religion, criminal records).
  • Data processing: automated (digital) vs. non-automated (analog).
  • Employee rights: access correction, blocking, deletion of data.
  • Employer obligations: ensure data security, appoint data protection officer (DPO).
  • Data protection principles: processing only when legally permitted.
  • Data handling tasks: archiving, updating, providing information.
  • Data protection measures: access controls, monitoring, involving Betriebsrat.
  • Data protection law violations: penalties, breach notifications.

2. 🧩 Key Structures & Components

  • Personalakte — contains personal details, employment history, education, remuneration, employment documents.
  • Data protection laws — GDPR (EU-wide), BDSG (German law).
  • Data categories — personal data (name, address), sensitive data (health, religion, criminal records).
  • Data processing — digital (automated) and manual (non-automated).
  • Data protection officer (DPO) — required if ≥10 employees (automated) or ≥20 employees (manual).
  • Technical and Organizational Measures (TOMs) — access controls, encryption, monitoring.
  • Betriebsrat (works council) — involved in data security measures and monitoring.

3. 🔬 Functions, Mechanisms & Relationships

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Anteprima del quiz

1. What is the primary purpose of a personalakte in HR management?

2. What is contained within a personalakte?

3. Under GDPR, which of the following data categories is considered sensitive and requires special handling?

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Anteprima delle flashcard

Personalakte — definition?

Collection of employment-related documents

Personalakte — definition?

All employment-related documents collection.

GDPR — scope?

Protects personal data in EU and third countries

GDPR — role?

EU data protection regulation.

Data processing — types?

Automated (digital) and non-automated (analog)

Data categories — examples?

Personal, health, religion, criminal records.

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Domande frequenti

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