The ESCO data science team is proposing ESCO implementers 3 collaboration scenarios:

1. get access to our mapping tool;
2. exchange sample datasets to test our AI models;
3. organise knowledge exchange to learn from each other.

What type of data are we looking for?

• Labour market data (job vacancies, CVs linked to ESCO);
• Education & training (qualifications learning outcomes, curricula descriptions, etc);
• Other sources (mappings of other taxonomies, sectorial classifications, etc).

If you benefit from the use of ESCO and have this type of data available, we look forward to working together so that we can continue to improve the taxonomy!

For more details about what the scenarios entail, download the attached document.