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Evolution and purpose

Follows recommendations from the EiE Data Summit which highlighted the need for a strengthened EiEPC data system and architecture (June 2019, Geneva)
Focus on Education in Emergencies and Protracted Crises (henceforth EiE)
Introduce a more strategic and potentially normative approach to strengthening EiE data systems, standards, processes, and practices
Link with other INEE groups and do not duplicate efforts
Strive to include voices of key relevant partners/stakeholders including voices from country and region-level offices.

Objective�To strengthen the EiE data ecosystem, through the creation of global public goods and generation of consensus on changes/reforms

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From fragmented to holistic EiE data solutions

Need for deeper connection across specializations

Statisticians; information managers; measurement specialists; researchers; evaluators; data analysts; M&E Specialists; EiE programme specialists; donor reporting specialists; proposal developers

Need for more common vision, norms and approaches across organizations (cluster, agencies, CSOs, donors, Governments, contractors, academia etc)

Organizations have their own agendas/frameworks
Humanitarian/development partners with separate frameworks
Academia vs practitioners with different purposes
Funders vs implementers

For systemic change to happen, we need holistic solutions, looking at both functional/rational as well as political dimensions of organizations/institutions

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Value chain	Gaps			Expected results
Data use	Global level	Gaps in integrating EiE data in SDG4 global reporting/advocacy; discrepancies in global EiE data		Increased use of EiE data for global advocacy and SDG4 progress reporting	Increased use of EiE data and evidence in policies, programs and advocacy
	Country level	Gaps in learning across HPCs; joint reviews, evaluations and analysis of what does (not) work, and why Gaps in using evidence for more contextualized policies/programs; TOCs; results frameworks		Increased use of evidence for learning and informing policy/program development and adaptations
Data sharing	Gaps in data sharing; lack of data reporting standards, incl on education and financing; lack of interoperable EMIS/EiE data platforms, esp along hum/dev divide			Increased data sharing	Increased EiE data accessibility
				Increased use of common data platforms
Data production	Data analysis		Gaps in conflict/disaster risk analysis; trend/progress and disaggregated analysis; visualizations/reporting standards	Increased monitoring of progress towards standardized outcome-level results	Increased availability of relevant, quality and timely EiE data and evidence
	Data collection, processing and storing		Fragmented data collection, with duplication of efforts; Gaps in real-time/dynamic data capturing Reaching communities in remote/insecure areas	Increased use of joint needs assessments, reviews, evaluations and research
	Data/Monitoring strategy		Focus on outputs rather than outcomes; unclear baseline and target setting; lack of standards/harmonized EiE data/indicators
	Measurement initiatives		MH-PSS/SEL; learning outcomes; protection Tracking displaced populations and their needs	Increased availability and use of common EiE data measurement standards and tools
Enabling environment	Lack of human and financial resources; lack of prioritization of evidence in organizational cultures, esp in EiE; lack of tracking of EiE data preparedness			Increased availability of data-proficient EiE staff	Strengthened environment for the production, sharing and use of quality EiE data and evidence
				Increased prioritization and funding for EiE data and evidence initiatives/system strengthening
				EiE data preparedness standards are developed and monitored
				Strengthened EiE data governance mechanisms

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Levers and how the group works with them

Global, country and regional levers:

Institutions (norms, standards, mechanisms, processes): INEE MnE practice standards; Systemic standards – i.e. MnE standards, MnE competency standards; always to be integrated in existing relevant institutions;
People (staffing requirements; M&E competencies; global/country)
Tools (JENA; learning outcome measurement; etc)
Funding (advocacy; etc)

Existing mechanisms/actors:

Cluster system
UNHCR
UN agencies/CSOs
Global funds (ECW, GPE)
Donors
Contractors
Governments (EiE strategies, crisis-sensitive TEPs/ESPs)

Reference Group on EiE Data

(INEE – ECW – UIS)

Part of SDG 4 data architecture in crisis contexts

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EiE Data Reference Group’s functions

Strategy development/review: this group would develop and agree on core challenges and develop an overarching Theory of Change (TOC). This would be an online living document, regularly updated with new evidence. This interactive ToC would live on the INEE website and enable members to engage with the RG’s work as well as track progress against key milestones.
Capacity development: this group could advocate for or produce capacity development tools for global or national level actors; agree on EiE data competencies.
Resource mobilization: this group could advocate for resource mobilization on key issues of EiE data.
Knowledge sharing/co-create solutions: a key function of the group would be linking the various ongoing EiE data working groups and ensuring that information is shared and disseminated amongst members and to the broader INEE Network.
Norm setting/advocacy: this group could work towards and advocate for key issues related to EiE data e.g. the designation and use of a core list of EiE indicators; better positioning of crisis-related issues in the SDG4.

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This means that members will work to:

Contribute inputs/comments to the development of the EiE Data strengthening framework and its TOC
Sign onto common advocacy goals, strategic frameworks or norms, and advocate in other external fora as well as within their organizations on behalf of the group
Identify leads for core areas of work and present back progress on milestones;
Share knowledge products via webinars and the online KM space, and thereby grow the evidence base what works, what does not and how/why regarding EiE data
Share draft resources for input as opposed to final documents;
Contribute to discussions, including open brainstorming sessions, in an online space such as Teams;
Engage in regular feedback and evaluation of the RG’s progress to help make the group fit-for-purpose

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Why join/contribute to the group?

“It’s hard for anyone to have the full overview of the EiE data ecosystem with all details and the connections” – This group will help you on this!
“Am I duplicating others’ efforts?” – This group will aim to engage and connect all EiE data actors to reduce duplication across the sector.
What were the approaches/lessons learned on xyz? And what is the latest on…?” – This group will ensure that you are up to date on recent developments in EiE data by convening actors to regularly share updates.
“How can we change the system?” – This group aims to work toward systematic change and to engage actors necessary to implement these changes.
“I have an idea – who should I talk to, to understand whether it is relevant?” – This group will connect you with key actors.

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Discussion

How should the group work;

Bigger vs smaller groups; need for work streams?
Should it be only a reference group (commenting, reviewing, guiding, endorsing) and/or should it produce concrete outputs?
Work modalities – online COP; webinars; quarterly ‘all member’ meetings
Agree/clarify role and expectations for this group vs others

Discuss process towards finalizing framework of action, with assigned co-leads; scan existing initiatives to link with
Inclusion of field based voices: Connection to regional INEE Working Group? Governments? Country-based humanitarian staff?
Exchange ideas on how this group can play a normative role: mandate; strategy; advocacy and communications

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