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Course Outline
Foundations of Data Governance
- The definition of data policies and their critical importance.
- Core elements: policies, standards, procedures, and guidelines.
- The strategic role of governance in the public sector.
Designing Effective Data Policies
- Defining policy objectives (security, quality, privacy).
- Clarifying stakeholder roles and responsibilities.
- Effective documentation and communication of policy requirements.
Developing Data Standards
- Data formats, naming conventions, and classification methods.
- Utilizing reference models and metadata frameworks.
- Standardizing practices 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 legal readiness.
Change Management and Implementation
- Rolling out policies across various departments.
- Implementing training and awareness strategies.
- Enforcing, monitoring, and reviewing policy adherence.
Evaluating and Improving Data Practices
- Conducting periodic audits and analyzing performance metrics.
- Establishing feedback loops for continuous improvement.
- Extracting lessons learned from relevant case studies.
Summary and Next Steps
Requirements
- Proficiency in understanding organizational or departmental data utilization.
- Familiarity with established recordkeeping or compliance protocols.
- Foundational knowledge of data management or reporting procedures.
Intended Audience
- Public sector data managers and officials.
- Policy advisors and compliance personnel.
- IT specialists supporting data governance structures.
14 Hours
