Digital Europe Programme explained: the data space for skills


As part of the Digital Europe Programme, the European Commission aims to set up common European Data Spaces. These data spaces will each have a specific sectoral focus. In a series of news pieces, we will showcase each of those sectoral data spaces. In this article, we dive into the data space for skills.

In general, the data spaces will connect currently fragmented and dispersed data from various ecosystems, from the private and public sectors. They will offer an interoperable, trusted IT environment for data processing, and a set of rules of legislative, administrative, and contractual nature that determine the rights of access to and processing of the data.

The aim of the data space for skills is to create a secure and trusted environment where skills data for various purposes can be shared and accessed. These purposes range from analytical and statistical to policy development or re-use for innovative applications.

Schools, universities, learning organisations, businesses, students, HR organisations, and employment agencies make daily use of data, from job and occupational profiles, vacancies and skills, to available trainings, degrees, and graduate numbers. These data are sensitive as they involve personal information yet they have enormous potential for innovative applications. Databases of job offers, lists of curricula and certifications, and study inventories all help to get a clear picture of human resources and set up training, business, or educational policy strategies accordingly. They also improve skills intelligence, HR planning, and learning processes.

Education and skills data are highly fragmented at the European level however, as both private and public actors are involved. To unify this, the project will:

  • Set up an inventory of existing platforms that collect, store, and share education and skills data (especially those related to the green and digital transformations);
  • Explore different possible design approaches for the data space;
  • Propose various conceptual approaches for the set-up of the data space and corresponding business models;
  • Explore services and applications that could be realised in the future;
  • Provide a multi-stakeholder governance scheme of the data space; and
  • Serve as a basis for consensus on approach, governance, and business models.

Curious to learn more? Access the Digital Europe Programme

Stay tuned for the next news piece on the Language Data Space.

Digital Europe Programme explained: the data space for skills
Image credit:
2017, Ari He via Unsplash

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