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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 within public sector strategy.
Designing Effective Data Policies
- Defining policy objectives (security, quality, privacy).
- Clarifying stakeholder roles and responsibilities.
- Documenting and communicating policy requirements.
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.
- Maintaining audit trails and legal readiness.
Change Management and Implementation
- Implementing policies across departments.
- Training and awareness strategies.
- Enforcing, monitoring, and reviewing policies.
Evaluating and Improving Data Practices
- Conducting periodic audits and measuring performance metrics.
- Establishing feedback loops for continuous improvement.
- Deriving lessons from case studies.
Summary and Next Steps
Requirements
- A fundamental understanding of how data is used within organizations or departments.
- Familiarity with recordkeeping and compliance practices.
- Basic knowledge of data management and reporting processes.
Target Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance personnel.
- IT professionals supporting data governance frameworks.
14 Hours
