【爱尔兰教育部】2024-2027数据战略报告_30页_903kb

Data Strategy 2024-27 Summary

Core Content

The Department of Education has published a new Data Strategy 2024-27, building on its 2017 strategy and aligning with national and international data frameworks. The strategy aims to enhance the department's data ecosystem by focusing on governance, culture, quality, and optimal use of data. It is designed to support the long-term vision of an education data culture where trusted, well-governed, and accessible data benefits learners, teachers, and leaders across the sector.

Main Purpose and Scope

• Purpose: To provide intentional direction for data action, informed by the department's context and the needs of staff and the wider education community.
• Scope: Internal to the Department of Education, but with benefits extending to stakeholders across the sector and public service bodies.
• Alignment: The strategy is aligned with the 2023-25 Statement of Strategy, the 2019-23 Public Service Data Strategy, and the 2023-27 Open Data Strategy. It also considers international frameworks such as the European Data Strategy and the UN Secretary-General's Data Strategy.

Key Priority Areas

The strategy outlines four main priority areas:

1. Strengthen Data Governance Structures and Processes
2. Uplift Data Culture and Literacy
3. Focus on Data Quality
4. Facilitate Optimal Data Use

These priorities are aimed at ensuring the department has a robust, transparent, and effective data governance system, a strong data culture, high-quality data, and mechanisms to use data efficiently and securely.

Vision and Principles

Vision:

An education data culture where trusted, well-governed, and accessible data is understood, supported, and leveraged for the benefit of all involved in the education sector.

Principles:

• People: Meaningful collaboration with colleagues and the wider education community.
• Quality, trusted data: Ensuring data accuracy and trustworthiness.
• Data as an input to informed decision-making: Using data to guide policy and practice.
• Efficiency and re-use: Minimising duplication of effort and promoting data re-use.
• Understanding and accessibility: Making data easy to understand and access.
• Ethics and transparency: Ensuring ethical and transparent data processing.
• Future-focused and responsive: Being adaptable to changing needs and contexts.
• Effective data governance: Ensuring legislative compliance and clear data ownership.

Anticipated Benefits

The successful implementation of the strategy is expected to deliver the following benefits:

• Communication: Enhanced data communication and knowledge sharing within the department and beyond.
• Capability: Centralisation of data expertise and decision-making, along with improved data literacy and training.
• Capacity: Reduced data detective work and increased data analytics capabilities.
• Connectedness: Alignment with national and international data efforts and fostering collaboration across the education sector.
• Control: Clear accountability, risk mitigation, and standardised data practices.
• Confidence: Increased staff confidence in data quality and transparency, supporting open data sharing and AI integration.
• Cost: Reduced costs through improved data quality and easier data access.

Key Actions and Goals

Priority 1: Strengthen Data Governance Structures and Processes

• Goal: Develop a data governance policy and framework.
• Actions:
  • Review existing policies and structures.
  • Develop and implement a governance policy and framework.
  • Communicate and embed the policy across the department.

Priority 2: Uplift Data Culture and Literacy

• Goal 2.1: Ensure consistent communication of data policies and guidance.

• Action 2.1.1: Explore appropriate communication channels and approaches.

• Action 2.1.2: Develop and implement a data communications plan.

• Goal 2.2: Develop a training and knowledge-sharing plan.

• Action 2.2.1: Identify training needs and knowledge sharing opportunities.

• Action 2.2.2: Develop and implement the training plan.

• Goal 2.3: Foster data knowledge sharing between the department and sector bodies.

• Action 2.3.1: Explore options to enhance knowledge sharing.

• Action 2.3.2: Strengthen knowledge-sharing structures.

Priority 3: Focus on Data Quality

• Goal 3.1: Develop a data quality monitoring framework.
• Actions:
  • Develop the framework based on the OGCIO Data Quality Framework.
  • Conduct a phased rollout among selected sections.

Priority 4: Facilitate Optimal Data Use

• Goal 4.1: Develop a data catalogue focused on business-critical datasets.

• Actions:

  • Conduct a general survey to identify current data holdings.
  • Scope technical approaches for storing the data catalogue.
  • Develop and populate the data catalogue.

• Goal 4.2: Develop a centralised data platform.

• Actions:

  • Develop data standards and architecture guardrails.
  • Design and build the platform infrastructure.
  • Integrate approved datasets into the central repository.
  • Implement a Data Use Case Initiative Tracker.

• Goal 4.3: Increase open data publication and appropriate sharing.

• Actions:

  • Plan for data openness at the design stage of projects.
  • Explore options for leveraging the Central Statistics Office's open data portal.
  • Enable lawful data sharing using APIs, aligned with the ICT Strategy.

Enablers for Success

• Effective Communication: Ensure staff understand the value of data and how it impacts their work.
• Meaningful Collaboration: Continue the collaborative approach seen during strategy development.
• Strategic Support: Provide visible leadership and establish communities of practice to support consistent understanding and practice.
• Resourcing: Secure adequate human, financial, and technological resources to implement the strategy effectively.

Conclusion

The Data Strategy 2024-27 represents a comprehensive and forward-looking approach to data management within the Department of Education. It is grounded in consultation, aligned with national and international frameworks, and focused on creating a sustainable, ethical, and efficient data ecosystem. The strategy's success depends on strong governance, a supportive culture, quality data, and effective data use, all of which will require ongoing engagement, investment, and collaboration.