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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 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 processes 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 preparing for legal requirements.
Change Management and Implementation
- Implementing policies across different departments.
- Developing training and awareness strategies.
- Enforcing, monitoring, and regularly reviewing policies.
Evaluating and Improving Data Practices
- Conducting periodic audits and measuring performance metrics.
- Implementing feedback loops for continuous improvement.
- Analyzing lessons learned from relevant case studies.
Summary and Next Steps
Requirements
- A solid understanding of how data is utilized within the organization or department.
- Familiarity with established recordkeeping and compliance practices.
- Basic knowledge of data management or reporting processes.
Audience
- Public sector data managers and officers.
- Policy advisors and compliance personnel.
- IT professionals involved in supporting data governance frameworks.
14 Hours
