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Duration 14 hours
Course Outline
Foundations of Data Governance
- The nature of data policies and their significance.
- Essential elements: policies, standards, procedures, and guidelines.
- The function of governance in public sector strategy.
Designing Effective Data Policies
- Defining policy goals related to security, quality, and privacy.
- Roles and responsibilities of key stakeholders.
- Documenting and communicating policy requirements effectively.
Developing Data Standards
- Data formats, naming conventions, and classification methods.
- Reference models and metadata frameworks.
- Standardizing processes across distributed teams.
Alignment with Legal and Ethical Frameworks
- Compliance with national regulations and ISO standards.
- Public transparency and ethical considerations.
- Maintaining audit trails and preparing for legal scrutiny.
Change Management and Implementation
- Implementing 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 tracking performance metrics.
- Establishing feedback loops for continuous improvement.
- Analyzing lessons learned from real-world case studies.
Summary and Next Steps
Requirements
- A clear understanding of how data is used within your organization or department.
- Knowledge of recordkeeping or compliance procedures.
- A fundamental awareness of data management or reporting processes.
Target Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance personnel.
- IT specialists supporting data governance frameworks.
