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Course Outline
Foundations of Data Governance
- Defining data policies and their strategic importance.
- Key components: policies, standards, procedures, and guidelines.
- The role of governance in public sector strategy.
Designing Effective Data Policies
- Setting policy objectives related to security, quality, and privacy.
- Defining stakeholder roles and responsibilities.
- Documenting and communicating policy requirements effectively.
Developing Data Standards
- Establishing data formats, naming conventions, and classification systems.
- Utilizing reference models and metadata frameworks.
- Standardizing practices across distributed teams.
Alignment with Legal and Ethical Frameworks
- Ensuring compliance with national regulations and ISO standards.
- Addressing public transparency and ethical considerations.
- Maintaining audit trails and legal readiness.
Change Management and Implementation
- Rolling out policies across various departments.
- Implementing training and awareness strategies.
- Enforcing, monitoring, and regularly reviewing policies.
Evaluating and Improving Data Practices
- Conducting periodic audits and analyzing performance metrics.
- Establishing feedback loops for continuous improvement.
- Reviewing lessons learned from relevant case studies.
Summary and Next Steps
Requirements
- Understanding of how data is used within an organization or department.
- Familiarity with recordkeeping and compliance practices.
- Basic awareness of data management and reporting processes.
Target Audience
- Public sector data managers and officers.
- Policy advisors and compliance staff.
- IT professionals who support data governance frameworks.
14 Hours
