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Course Outline
Foundations of Data Governance
- What are data policies and why they matter.
- Key components: policies, standards, procedures, guidelines.
- The role of governance in public sector strategy.
Designing Effective Data Policies
- Identifying policy objectives (security, quality, privacy).
- Stakeholder roles and responsibilities.
- Documenting and communicating policy requirements.
Developing Data Standards
- Data formats, naming conventions, classification.
- Reference models and metadata frameworks.
- Standardizing across distributed teams.
Alignment with Legal and Ethical Frameworks
- Compliance with national regulations and ISO standards.
- Public transparency and ethical considerations.
- Audit trails and legal readiness.
Change Management and Implementation
- Rolling out policies across departments.
- Training and awareness strategies.
- Enforcing, monitoring, and reviewing policies.
Evaluating and Improving Data Practices
- Periodic audits and performance metrics.
- Feedback loops and continuous improvement.
- Lessons learned from case studies.
Summary and Next Steps
Requirements
- An understanding of organizational or departmental data usage.
- Familiarity with recordkeeping or compliance practices.
- Basic awareness of data management or reporting processes.
Audience
- Public sector data managers and officers.
- Policy advisors and compliance staff.
- IT professionals supporting data governance frameworks.
14 Hours
