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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
- Defining policy objectives related to 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
- Adhering to national regulations and ISO standards.
- Considering public transparency and ethical implications.
- Maintaining audit trails and ensuring legal readiness.
Change Management and Implementation
- Rolling out policies across various departments.
- Strategies for training and raising awareness.
- Enforcing, monitoring, and reviewing policy adherence.
Evaluating and Improving Data Practices
- Conducting periodic audits and analyzing performance metrics.
- Implementing feedback loops and pursuing continuous improvement.
- Learning from relevant case studies.
Summary and Next Steps
Requirements
- A solid understanding of how data is used within your organization or department.
- Familiarity with record-keeping or compliance practices.
- A basic grasp of data management or reporting processes.
Target Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance staff.
- IT professionals who support data governance frameworks.
14 Hours
