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Course Outline
Foundations of Data Governance
- Understanding data policies and their significance.
- Key components: policies, standards, procedures, and guidelines.
- The role of governance in public sector strategy.
Designing Effective Data Policies
- Identifying policy objectives, including security, quality, and privacy.
- Defining stakeholder roles and responsibilities.
- Documenting and communicating policy requirements effectively.
Developing Data Standards
- Data formats, naming conventions, and classification.
- Reference models and metadata frameworks.
- Standardizing practices across distributed teams.
Alignment with Legal and Ethical Frameworks
- Compliance with national regulations and ISO standards.
- Public transparency and ethical considerations.
- Establishing audit trails and ensuring legal readiness.
Change Management and Implementation
- Implementing policies across various departments.
- Developing training and awareness strategies.
- Enforcing, monitoring, and reviewing policies.
Evaluating and Improving Data Practices
- Conducting periodic audits and analyzing performance metrics.
- Establishing feedback loops for continuous improvement.
- Extracting lessons learned from case studies.
Summary and Next Steps
Requirements
- A foundational understanding of organizational or departmental data usage.
- Familiarity with recordkeeping and 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
