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Course Outline
Core Concepts of Data Integrity and Accessibility
- Key definitions and foundational principles
- The significance of these factors in public service delivery
- Distinguishing between integrity, accessibility, and confidentiality
Risks to Data Integrity
- Human error, software defects, and configuration errors
- Cyber threats and data manipulation
- Lifecycle vulnerabilities: input, storage, and transmission
Maintaining Data Accuracy and Consistency
- Validation and verification methods
- Version control and audit trail management
- Best practices for handling structured data and metadata
Strategizing for Accessibility and Continuity
- Redundancy and system robustness
- Fundamentals of high-availability architecture
- Data recovery and business continuity strategies
Monitoring and Incident Management
- Identifying data anomalies and system failures
- Root cause analysis and corrective measures
- Documentation and capturing lessons learned
Governance and Policy Frameworks
- Policies governing data access, modification, and retention
- Alignment with standards and frameworks (e.g., ISO 27001)
- Ethical responsibilities regarding data integrity in the public sector
Recap and Future Directions
Requirements
- Familiarity with public sector data management or IT systems
- Practical experience with data workflows, documentation, or reporting
- Basic awareness of information security or compliance requirements
Target Audience
- Public sector data officers and analysts
- IT and system administrators
- Data governance and compliance teams
14 Hours
