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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
