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Duration 14 hours
Course Outline
Foundations of Data Governance
- The definition of data policies and their strategic importance.
- Core elements including policies, standards, procedures, and guidelines.
- The role of governance within public sector strategy.
Designing Effective Data Policies
- Defining policy objectives related to security, data quality, and privacy.
- Clarifying stakeholder roles and responsibilities.
- Documenting and communicating policy requirements effectively.
Developing Data Standards
- Establishing data formats, naming conventions, and classification methods.
- 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 ensuring legal readiness.
Change Management and Implementation
- Deploying policies across various departments.
- Implementing training and awareness strategies.
- 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 relevant case studies.
Summary and Next Steps
Requirements
- Familiarity with how data is utilized within the organization or specific department.
- Knowledge of established recordkeeping or compliance protocols.
- A basic grasp of data management or reporting processes.
Intended Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance personnel.
- IT professionals involved in supporting data governance frameworks.
