Course Code: dataps
Duration: 14 hours
Prerequisites:
  • An understanding of organizational or departmental data usage
  • Familiarity with recordkeeping or compliance practices
  • Basic awareness of data management or reporting processes

Audience

  • Public sector data managers and officers
  • Policy advisors and compliance staff
  • IT professionals supporting data governance frameworks
Overview:

Data Policies and Standards is the structured approach to ensuring that government data is created, maintained, accessed, and used in ways that are consistent, secure, and aligned with legal and ethical guidelines.

This instructor-led, live training (online or onsite) is aimed at public sector professionals responsible for setting or applying data policies—regardless of technical background—who wish to standardize, document, and enforce data practices across departments or systems.

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

  • Define and differentiate between data policies, standards, and procedures.
  • Draft and evaluate data governance policies aligned with national and international frameworks.
  • Promote consistent and high-quality data practices across teams and departments.
  • Build a foundation for compliance, audit readiness, and trustworthy data systems.

Format of the Course

  • Interactive lecture and discussion.
  • Hands-on drafting of sample policies and standards.
  • Guided evaluation of existing data workflows and controls.

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.
Course Outline:

Foundations of Data Governance

  • What are data policies and why they matter
  • Key components: policies, standards, procedures, guidelines
  • The role of governance in public sector strategy

Designing Effective Data Policies

  • Identifying policy objectives (security, quality, privacy)
  • Stakeholder roles and responsibilities
  • Documenting and communicating policy requirements

Developing Data Standards

  • Data formats, naming conventions, classification
  • Reference models and metadata frameworks
  • Standardizing across distributed teams

Alignment with Legal and Ethical Frameworks

  • Compliance with national regulations and ISO standards
  • Public transparency and ethical considerations
  • Audit trails and legal readiness

Change Management and Implementation

  • Rolling out policies across departments
  • Training and awareness strategies
  • Enforcing, monitoring, and reviewing policies

Evaluating and Improving Data Practices

  • Periodic audits and performance metrics
  • Feedback loops and continuous improvement
  • Lessons learned from case studies

Summary and Next Steps

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