2.2 Methodological approach

DS4Skills adopted an approach to identify the needs of skills & education stakeholders across Europe: what are the use cases they are working on? What are their technical, business, UX and governance needs? This happened through a set of 20 in depth interviews and the results can be found more extensively in D3.1 [Deliverable 3.1]. 

From these needs the project identified 5 main tracks: 

  • Usage scenarios: what are the main usage scenarios for the skills data space, what is the value for each stakeholder? 
  • Business models & Value sharing: what are the different types of business model, pricing models? What kind of value is generated and shared in the data space? 
  • Governance Models: what are the roles in the data space? What are their obligations? Who is in charge of what? What do we need to set up this governance? 
  • Technical architecture and building blocks: what are the building blocks and technical components needed to share data in a decentralised and trusted way? 
  • User experience: how to ensure a seamless experience for people and organisations in the data space? 

Each of these tracks were set to provide precise recommendations and solutions through an iterative approach of 5 phases.  

  1. Scientific literature phase: Proposing recommendations extracted from scientific articles. 
  2. Inclusion phase: Augmenting the recommendations with elements from D3.1 and the Data Space Support Centre and with the recommendations with the expertise of DS4Skills partners. 
  3. Community phase: Organising a workshop organized with skills / education stakeholders to get inputs on the recommendations. 
  4. DSSC phase: Organising a workshop organized with the DSSC to align the blueprint with DSSC progress and recommendations. 
  5. Partners phase: Producing the final recommendations of each chapter through an agile and co-creation approach, based on all previous inputs and their expertise. 
  6. Finalization phase: Fine tuning the blueprint through a final workshop with wider audience (decision makers, other data space representatives). 

The following chapters detail as such: 

  1. General approach: description of the overall structure, roles and different levels in the data space as well as the human-centric focus of the Skills & Education Data Space. 
  2. Usage scenarios: description of the main use cases DS4Skills as identified for the Skills & Education Data Space. 
  3. Business models: description of potential business models for the data space use cases 
  4. Governance models: description of the governance model and framework needed to implement the data space. 
  5. Technical elements: description of the technical architecture and building blocks proposed to implement the data space. 
  6. User Experience: user experience propositions for the data space. 
  7. Growth and roll out: recommendations to launch the data space and ensure wide adoption. 

Across the tracks we will use the fictional use case “EU-DUNE” to concretely illustrate recommendations, described under chapter “Usage scenarios”. 

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