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Course Outline
Introduction to DPIA
- Definition and purpose under the GDPR and related laws.
- Legal obligations and regulatory expectations.
- Key terminology: processing, risk, mitigation, and impact.
When to Conduct a DPIA
- High-risk data processing activities.
- Examples: profiling, surveillance, and large-scale data usage.
- Pre-screening checklists and risk thresholds.
DPIA Framework and Lifecycle
- DPIA phases: 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 identifying and evaluating risks.
- 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 foundational understanding of data privacy concepts and compliance obligations.
- Familiarity with the GDPR or other relevant data protection regulations.
Audience
- Data Protection Officers (DPOs).
- Professionals in compliance and risk management.
- IT and legal staff involved in privacy impact evaluations.
7 Hours
Testimonials (1)
The variety of the information shared and the clarity to explain terms in plain English.
