Matching Talent to the Jobs of Tomorrow A Guidebook for Public Employment Services 2025

2 Innovative solutions and use cases How to get started – data structure and standardization Outcomes A unified langu age for skills and job roles Better data compatibility across systems Reduced complexity in matching across industries and regions Activities Develop or adopt taxonomies and ontologies Train staff on how to map and align diverse data formats to the framework Map and align collected data to your standardized framework Regularly update your framework to reflect changing market trends Pilot the process with a small dataset to identify gaps before scaling Prerequisites Access to basic classification systems Clear understanding of national and sector-specific requirements Knowledge in taxonomy and ontology management Skills classification methods Linguistic understanding for multilingual adaptation Key success factors Consistent updates to taxonomies Collaboration with industry experts to ensure relevance Seamless integration with existing systemsBasic SophisticationAccessibility SpreadsheetsOpen taxonomiesOntology editorsTaxonomy- as-a- serviceSpecialized language processing toolsNatural language processingAdvancedSpecialized solutions Widely accessible Matching Talent to the Jobs of Tomorrow: A Guidebook for Public Employment Services 18