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Duration 14 hours
Course Outline
Foundations of Data Governance
- The nature of data policies and their significance.
- Core elements: policies, standards, procedures, and guidelines.
- The role of governance in public sector strategy.
Designing Effective Data Policies
- Identifying key policy objectives such as security, quality, and privacy.
- Clarifying stakeholder roles and responsibilities.
- Documenting and communicating policy requirements effectively.
Developing Data Standards
- Data formats, naming conventions, and classification methods.
- 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.
- Managing audit trails and ensuring legal readiness.
Change Management and Implementation
- Rolling out policies across different departments.
- Strategies for training and awareness building.
- Enforcing, monitoring, and reviewing policy adherence.
Evaluating and Improving Data Practices
- Conducting periodic audits and tracking performance metrics.
- Implementing feedback loops for continuous improvement.
- Learning from relevant case studies.
Summary and Next Steps
Requirements
- A solid grasp of organizational or departmental data usage patterns.
- Experience with recordkeeping or compliance practices.
- A basic understanding of data management and reporting processes.
Target Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance staff.
- IT professionals involved in supporting data governance frameworks.
