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Course Outline

Introduction to DPIA

  • Definition and purpose under the GDPR and related laws.
  • Legal obligations and regulatory expectations.
  • Key terms: processing, risk, mitigation, and impact.

When to Conduct a DPIA

  • High-risk data processing activities.
  • Examples: profiling, surveillance, and large-scale data use.
  • Pre-screening checklists and risk thresholds.

DPIA Framework and Lifecycle

  • Phases of a DPIA: preparation, assessment, consultation, and documentation.
  • Roles and responsibilities: DPO, controller, and processor.
  • Stakeholder engagement and transparency.

Conducting the DPIA

  • Identifying data flows, subjects, and assets.
  • Methods for risk identification and evaluation.
  • Designing mitigations and safeguards.

Documenting and Reporting

  • Structure of a DPIA report.
  • Templates, checklists, and sample entries.
  • Communicating findings to management and authorities.

Integration with Governance and Privacy by Design

  • Embedding DPIA into project management and change control.
  • Alignment with data protection strategies.
  • Maintaining an ongoing DPIA review process.

Case Studies and Practical Exercises

  • Sample DPIAs from healthcare, finance, and the public sector.
  • Group exercises and peer review.
  • Q&A with the instructor on specific use cases.

Summary and Next Steps

Requirements

  • A solid understanding of data privacy concepts and compliance obligations.
  • Familiarity with the GDPR or other relevant data protection regulations.

Audience

  • Data Protection Officers (DPOs).
  • Compliance and risk management professionals.
  • IT and legal staff involved in privacy impact evaluations.
 7 Hours

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