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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 strategic role of governance in the public sector.
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
- Addressing data formats, naming conventions, and classification.
- 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.
- Considering public transparency and ethical implications.
- Maintaining audit trails and preparing for legal scrutiny.
Change Management and Implementation
- Rolling out policies across different departments.
- Implementing training and awareness strategies.
- Enforcing, monitoring, and reviewing policies over time.
Evaluating and Improving Data Practices
- Conducting periodic audits and tracking performance metrics.
- Establishing feedback loops for continuous improvement.
- Applying lessons learned from relevant case studies.
Summary and Next Steps
Requirements
- A solid understanding of how data is utilized within your organization or department.
- Familiarity with standard recordkeeping and compliance practices.
- Basic awareness of data management or reporting processes.
Target Audience
- Data managers and officers in the public sector.
- Policy advisors and compliance staff.
- IT professionals involved in supporting data governance frameworks.
14 Hours
