Coordination and Collaboration
Enablers
Purpose-Driven EiE Data Culture: Cultivating a purpose-driven EiE data culture within emergency contexts ensures coordinated data collection aligned with community needs, fostering consensus among data actors.
Unified Approach: Stakeholders acknowledge the value of a unified approach, envisioning a collective system working towards shared goals. Clarifying roles and identifying synergies enhances coordination in data production, management, and use.
Leveraging Existing Mechanisms: Improvements in EiE data coordination are reported through the utilization of established inter-agency mechanisms, such as the Education Cluster, for implementing system-strengthening activities.
Triple Nexus Advocacy: Adopting a holistic approach to EiE data, encompassing all disaster management cycle stages, serves as a powerful tool for awareness and advocacy, emphasizing the collective benefits of collaborating in EiE Data System Strengthening.
Constraints
Diverse Agendas of EiE Data Actors: The multitude of actors with varied backgrounds sometimes hinders coordinated data collection and management, challenging comprehensive problem-solving approaches.
Overreliance on Personal Relationships: Positive personal relationships facilitate progress but relying solely on them is unsustainable, emphasizing the need for institutionalization of EiE and EiE Data processes within the MOE and among partners.
Limited Engagement Across Sectors: Stakeholders note limited engagement from those not directly involved in EiE, impacting broader participation in education, relevant line ministries, and other development and humanitarian sectors.
Immediate Crisis Response Prioritization: In lower-income countries facing multiple crises, advocating for investments in longer-term system strengthening over immediate crisis response proves challenging, hindering the resilience of education systems.
Top-Down Vertical Coordination: Evidence suggests that vertical coordination within the EiE data value chain tends to be top-down, with school-based actors primarily involved in data collection without a clear understanding of the purpose behind these exercises.