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An initiative categorised as 'data space' initiative has been assessed for relevance to the development of a blueprint/architecture of the 'to be developed' data space for skills. 'Data space' initiatives include ecosystems that exchange skills and/or educational data, but also implementations, standards or technology that can serve as technical building block of such a data space.

An initiative categorised as 'data source' (or 'data app') initiative is not necessarily relevant for the technical development of the data space itself, but include data sources, applications or services that can ultimately be offered or exchanged on top of the data space.
A platform generates value by facilitating third parties' transactions, e.g., an online marketplace like eBay. A platform is an asset or business that removes friction from a market.
Platform
An ecosystem is a group of actors/businesses (synergy) linked through complementary business activities or expertise.
Ecosystem
An app service that processes data from some data sources as input and, eventually, may provide data as result of such processing.
App
A service that provides access to data from a data source.
Service
Data space
A used or accepted (semantic) norm, including taxonomies, thesauri and ontologies.
Standard
Other
Alliance, National Trade Associations, Chambers of commerce, industry or labour, chambers of skilled crafts
Business associations in key sectors
e.g. Higher education institutions, e-learning platforms, schools, VET providers , Networks of VET providers, Research institutes, Accreditation, certification, recognition or qualification bodies
Education and Training providers
Research and innovations centres, agencies and networks
Bodies providing career guidance, professional counselling, information services and employment services , e.g. EURES, Randstad, The Adecco Group, Manpower, Pole Emploi
Employment services and job intermediaries
e.g. skills portfolios, Edtechs, job boards, data and analytics providers, data intermediary solutions and AI-based platforms to recommend trainings, jobs, learning paths
End-user services: ICT, technology, analytics and data providers, solutions, operators and platform
e.g. skills portfolios, Edtechs, job boards, data and analytics providers, data intermediary solutions and AI-based platforms to recommend trainings, jobs, learning paths
Infrastructure services: ICT, technology, analytics and data providers, solutions, operators and platform
e.g. Authorities responsible for education, training or employment at regional or national level, , ENIC/NARIC national centres
Authorities
Policymakers in Education and EmploymentOther
Business conducted between companies, operating in the field of open data service providers.
B2B
Business conducted between a company and individual consumer, allowing the last to have a single system to generate, store and access skills related personal data.
B2C
Service allowing the single individuals data sharing for skills comparison, learning paths, and certification.
C2C
Business aimed at the creation of services to provide access for companies to individual profiling tools regarding skills and expertise mapping.
C2B
Business conducted between a company and a government in the field of open data service providers.
B2G
Business model where a company accesses the customer market via another business. In this model, two businesses come together to deliver their products or services to end customers via an integrated supply chain.
B2B2C
Access provided by governments to their information and services towards citizens.
G2C
Business conducted between businesses and government, where the government provides services or information to a business entity via government portals or other IT solutions.
G2B
A relationship between the customer/citizen and government where the citizen provides the government with information or services.
C2G
manage knowledge, skills, and abilities
Manage competencies
share common hiring challenges and provide information for developing successful attraction and retention strategies
Attract and recruit talent for employers
investment to increase the knowledge, skill, experience, commitment, or value of employees to improve their performance
Develop personnel
Sharing of job offers
Offer jobs
sharing trend on job market evolution and related future hard skills
Forecast future skills needs
Other
Career planning and life decisionsPersonalised lifelong learning journeyUpgrading and reskilling professional skillsSearching and applying for jobsFinding learning opportunitiesOther
Offer training and educationRecruit students/participantsDevelop curriculumValidate and certify skillsForecast future skills demandOther
Knowledge, Skills, Attitudes and values, Language skills and knowledge
Skill & Competence data
The occupations pillar is one of the three pillars of ESCO. It organises the occupation concepts in ESCO. It uses hierarchical relationships between them, metadata as well as mappings to the International Standard Classification of Occupations (ISCO) in order to structure the occupations.
Occupation data
Qualifications are the formal outcome of an assessment and validation process which is obtained when a competent body determines that an individual has achieved learning outcomes to given standards.
Qualifications & Education data
In terms of employment, open availability relates to potential work schedule and availability to travel.
Additional availabilities
Transversal knowledge, skills and competences are relevant to a broad range of occupations and sectors. They are often referred to as core skills, basic skills or soft skills, the cornerstone for the personal development of a person. Transversal knowledge, skills and competences are the building blocks for the development of the "hard" skills and competences required to succeed on the labour market.
Transversal skills
data used in the initiative is open.
Open data
data used in the initiative is personal data, e.g. achieved skills, certificates, personal information like addresses, etc.
Personal data
data used in the initiative is sensitive data and therefore anonymized. The data cannot be traced back to a specific person.
Anonymized/sensitive data
Other
The knowledge, abilities, values and attitudes needed to live in, develop and support a sustainable and resource-efficient society
Green skills
Under the digital skills umbrella five types of skills can be distinguished: information processing (e.g. using a search engine and storing information and data); communication (including teleconferencing and application sharing); content creation (such as producing text and tables, and multimedia content); security (e.g. using a password and encrypting files); and, problem solving (e.g. finding IT assistance and using software tools to solve problems)
Digital skills