Deploying the European Skills Data Space Through Eight Sustainable Use Case
Use Cases are focused on key challenges such as lifelong learning, upskilling, and employee retention, demonstrating the practical benefits of the European Skills Data Space.
Use Case 2: Supporting Student Mobility and Lifelong Learning
The aim is to test and deploy a data space in Finland, and in another EU country, with the purpose of facilitating the matching of individual skills with learning opportunities and providers in the area of higher education. Based on the collaboration environment established in Finland in various shared national education information infrastructures and by the Digivisio national programme for higher education institutions, the project will improve digital services to support individuals in making educational and career choices and maintaining and developing their competence throughout their careers and lives, as well as to promote a better match between work, competence, and demand and supply of education.
Use Case 3: Human Soft Skills Assessing Automation
This use case leverages the skills data space to feed various data sources, such as skills maps, personal career information, and personal competencies, into an analytics service that will evaluate skills mismatches and provide the best pathways to improve role capabilities by tailoring personalised learning experiences.
The objectives are to interconnect part of Mylia’s training offer, including EU-funded training pilots and Management Courses, to provide a comprehensive offer of training programs through the data space services. It will also add an evaluation service to address skills mismatches in strategic and critical thinking for tech adoption, complementing Mylia’s trainings. Furthermore, the integration of several data sources will forecast industry-specific or role-specific skills demands and facilitate personalised learning experiences.
Use Case 4: Data Supported Recruiting, Upskilling and Reskilling
Use Case 5: Lifelong Learning and Upskilling
The use case focuses on analysing resumés, job descriptions, and training programs to recommend tailored lifelong learning pathways that effectively bridge skill gaps. It addresses two key scenarios:
In Scenario 1, a coach provides a resumé and a job description to identify any skill gaps and recommend relevant training programs, helping the candidate qualify for the job.
In Scenario 2, a training organisation examines multiple job postings to identify unmet skill demands in the industry and adjusts its training offerings accordingly to address those needs.
This use case ultimately aims to improve the alignment between skills and job market requirements through personalized learning pathways.
Use Case 6: Seamless Student Mobility through Interoperable Digital Certificates
The primary objective is to reduce administrative work for students and enhance mobility in Europe by leveraging the Belgian government’s personal data certificates, provided by Athumi. By enabling secure and verifiable sharing of school certificates, which confirm a student’s enrollment, the initiative simplifies access to student services and benefits. Built within Athumi’s interoperable ecosystem, it ensures seamless integration with existing digital infrastructures, enhancing efficiency and cross-border recognition.
By utilising the Belgian government’s dataset, including school certificates, the process streamlines access to services and reduces the administrative burden on students, improving mobility across Europe.
Use Case 7: Students' Learning Experiences and Skills Dataspace
The aim is to provide insights into students’ experiences and skills, assess innovative learning models, and support the educational community in evaluating training effectiveness and satisfaction. The objectives focus on developing a data framework that gathers and analyses data on students’ academic experiences, skills, and learning outcomes. By assessing various learning models, the use case helps institutions evaluate the effectiveness of training programs, identify areas for improvement, and enhance student satisfaction, ultimately improving the quality of education. The insights derived from this framework allow for data-driven decision-making that supports the continuous refinement of educational practices and the design of more effective, personalised learning experiences.
Use Case 8: Dataspace for Manufacturing Skills
The skills4manufacturing dataspace will bridge the gap for matching training services and needs for new skills targeting the manufacturing domain. The use case will set up advanced analytics that will facilitate matchmaking, enabling students in academia as well as professionals in manufacturing to evaluate their skill level and find suitable activities and services that will enhance their skill level. The skills4manufacturing dataspace will provide service and data from competence centers and EDIHs/DIHs with an orientation to advanced manufacturing as well as online training content providers. The objective is to set up a skills data space aimed at bridging the gap for matching training services and new skills in advanced manufacturing. It will also enable the deployment of actual data flows, facilitating the provision of relevant training services that meet industry needs.
