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Course Outline
Foundations of Data Governance
- The definition of data policies and their significance
- Core components: policies, standards, procedures, and guidelines
- The strategic role of governance in the public sector
Designing Effective Data Policies
- Defining policy objectives related to security, quality, and privacy
- Clarifying stakeholder roles and responsibilities
- Documenting and communicating policy requirements effectively
Developing Data Standards
- Addressing data formats, naming conventions, and classification
- 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
- Navigating public transparency and ethical considerations
- Maintaining audit trails and legal readiness
Change Management and Implementation
- Rolling out policies effectively across departments
- Developing training and awareness strategies
- Implementing enforcement, monitoring, and review processes
Evaluating and Improving Data Practices
- Conducting periodic audits and tracking performance metrics
- Establishing feedback loops for continuous improvement
- Analyzing lessons learned from relevant case studies
Summary and Next Steps
Requirements
- A solid understanding of how your organization or department utilizes data
- Familiarity with record-keeping or compliance procedures
- Basic knowledge of data management or reporting processes
Target Audience
- Public sector data managers and officers
- Policy advisors and compliance specialists
- IT professionals supporting data governance frameworks
14 Hours
