Data Integrity and Availability

• An understanding of public sector data management or IT systems
• Experience with data workflows, documentation, or reporting
• Awareness of information security or compliance considerations

Audience

• Public sector data officers and analysts
• IT and system administrators
• Data governance and compliance teams

Data Integrity and Availability is the discipline of ensuring that data remains accurate, complete, consistent, and accessible when needed, especially in high-trust public sector environments.

This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for managing or safeguarding data—regardless of their technical background—who wish to ensure the reliability, consistency, and availability of critical datasets and systems under their control.

By the end of this training, participants will be able to:

• Define and differentiate the principles of integrity and availability in the data lifecycle.
• Detect and prevent data corruption, inconsistency, or unauthorized alterations.
• Design data environments that ensure high availability and business continuity.
• Implement policies and controls that promote long-term data reliability.

Format of the Course

• Interactive lecture and discussion.
• Hands-on evaluation of data risks and failure points.
• Guided exercises focused on policy development and incident prevention.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Fundamentals of Data Integrity and Availability

• Definitions and key principles
• Why it matters in public services
• Integrity vs. availability vs. confidentiality

Threats to Data Integrity

• Human error, software bugs, and misconfiguration
• Cyberattacks and data tampering
• Lifecycle risks: entry, storage, transmission

Ensuring Data Accuracy and Consistency

• Validation and verification techniques
• Version control and audit logs
• Best practices for structured data and metadata

Planning for Availability and Continuity

• Redundancy and system resilience
• High-availability architecture basics
• Data recovery and business continuity plans

Monitoring and Incident Response

• Detecting data anomalies and failures
• Root cause analysis and remediation steps
• Documentation and lessons learned

Governance and Policy Considerations

• Policies for data access, editing, and retention
• Aligning with standards and frameworks (e.g., ISO 27001)
• Ethical obligations for data integrity in the public sector

Summary and Next Steps