Statistical Services for Data on Education, Skills, and Employment (ETF)
The project supports the European Training Foundation (ETF) in strengthening evidence-based policymaking through harmonized data collection, statistical analysis and capacity building across education, skills and employment systems in ETF partner countries.
This project covers all 26 ETF partner countries (Albania, Algeria, Armenia, Azerbaijan, Bosnia and Herzegovina, Egypt, Georgia, Israel, Jordan, Kazakhstan, Kosovo, Kyrgyzstan, Lebanon, Libya, Moldova, Montenegro, Morocco, North Macedonia, Palestine, Serbia, Syria, Tajikistan, Tunisia, Türkiye, Ukraine, and Uzbekistan.)
Objectives
Project Description
This project supports the European Training Foundation (ETF) in advancing human capital development by strengthening the availability, quality, and use of statistical evidence on education, skills, and employment across partner countries.
Addressing persistent gaps in data comparability, accessibility, and analytical capacity, the project enhances the ability of governments, public institutions, and national stakeholders to collect, manage, analyse, and interpret labour market and skills data for policy design and implementation.
It enables the harmonisation of national and international data sources, supports the design and implementation of new multilingual surveys, and facilitates the analysis of large-scale administrative and survey datasets.
These activities are complemented by the development of data visualisation tools, dashboards, and policy-oriented knowledge products that translate complex evidence into actionable insights for policymakers and practitioners.
Implemented through iterative and demand-driven assignments, the project contributes directly to ETF’s broader strategy of promoting inclusive lifelong learning systems, effective skills development policies, and smoother labour market transitions tailored to diverse country contexts.
A strong emphasis is placed on capacity building, collaborative workflows, and methodological rigour to ensure sustainable use of evidence beyond the project lifecycle.
WageIndicator Foundation leads data collection and harmonisation processes, designs and implements multilingual surveys, contributes to statistical analysis and labour market insights, develops data visualisation platforms, and supports capacity building through training, technical guidance, and methodological toolkits for national experts and institutions.
Project Partners
- WageIndicator Foundation (Netherlands) – Data collection, analysis & visualisation
- Hiberus (Spain) – Data engineering, analytics, and digital platform development
- Dukat (Spain) – Project coordination, contract management and operational support
Role WageIndicator
WageIndicator leads data collection and harmonization processes, designs and implements multilingual surveys, contributes to statistical analyses and labour market insight generation, and develops data visualization platforms. WageIndicator also supports capacity building through training, technical guidance and methodological toolkits for national experts and institutions.
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