INEE Network Spaces

EiE Data Working Group

Convened from December 2020-2025, the overarching aim of the EiE Data Working Group was to directly improve the EiE data ecosystem or, through the creation of global public goods and generation of consensus for particular changes, to catalyze improvements in the EiE data ecosystem.

Building on and linking to the work of key EiE data actors and working groups, this group aimed to provide a strategic global platform for a strengthened and more collaborative EiE data ecosystem. 

Background 

This working group fulfilled part of the 2019 EiE INEE Data Summit Action Agenda by enabling data experts from a range of organizations to collaborate on systemic EiE data issues that existed within and between their organizations.

To convene this group, the INEE Data and Evidence Collaborative - co-chaired by FHI 360 and NORRAG - consulted a range of actors on how best to constitute this group before inviting ECW and the UIS to co-chair the INEE-convened group for the first year. Leadership from ECW and the UIS brought the best of both emergency and development context expertise to address increasingly prominent nexus issues. 

Although there was a broad range of current education data initiatives globally, the consultation phase identified a specific gap in emergency contexts. This group did not intend to duplicate existing work but built on and connected relevant initiatives within the group. 

The first meeting of the EiE Data Working Group was held on December 10th, 2020. The group included representatives from UN agencies, civil society, donors, Ministries of Education, universities, and foundations.

Functions

The group supported the following functions:

  1. Strategy development/review
  2. Capacity development
  3. Resource mobilization
  4. Knowledge sharing/co-create solutions
  5. Norm setting/advocacy

Workstreams

The group designated the following 4 key Workstreams to tackle issues and strengthen the EiE data ecosystem. 

  1. Global Data Reporting
  2. Data Sharing, Analysis, and Use
  3. Strengthening Joint Monitoring, Evaluation and Learning Towards Collective Outcomes in EiE
  4. Data Standards 

Theory of Change 

The DWG outlined this Theory of Change (ToC) to guide its work. 

For more information please contact Sonja Anderson: [email protected]