EOSC-Pillar Work Package 6 delivers use cases to analyse different tools and services for the "FAIRisation" of data and services and type of governance according to the community needs.

This work package collects use cases based on the requirements of scientific communities. Pilots run to validate the proposed solutions, which will be trans-national by design and general enough to be extended to other communities with minimal changes.

The pilots include resources and cost study, in order to understand their feasibility and propose a viable business model for the resulting services. The selected use cases are connected to real scientific production and intent to improve the usage of data from a FAIR perspective.

The need for “data FAIRisation” is important, diversified and specific for each community (nanotechnologies, environment -ocean, atmosphere, continental surfaces, health, humanities, biodiversity, solid earth). They are more or less structured and have developed tools and services adapted to their specific needs and constraints. The objective is to prepare scientific communities to be involved in EOSC.

The initial set of scientific use cases will be expanded through an open call for participation, inviting communities and their developers to bring forward thematic services to enhance the portfolio of the project and the EOSC Portal.

The main objectives of this work package are to:

  • Analyse specificities of the scientific communities but also cross-cutting needs
  • Integrate different data from all components and domains and facilitate access, integrated and intelligent treatments and diffusion
  • Identify important tools and services from the use cases
  • Identify gaps and needs that can be fulfilled by the future EOSC
  • Expand the set of use cases through the launch of an open call for communities

Use cases


Defining procedures and services to enforce data provenance for thematic communities and beyond

Due to data exploration complexity, provenance management is a key component in order to guarante

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Agile FAIR Data for Environment and Earth System Communities

Earth Environment Sciences & Geosciences require a large panel and volume of data from satell

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Integration of data repositories into EOSC based on communities approaches

The agriculture, food and environment research community faces many challenges common to all: Eas

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FAIR principles in data life-cycles for Humanities

This task aims to identify and develop use cases based on Social Sciences and Humanities

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Exploring reference data through existing computing services for the bioinformatics community

Galaxy, one of the best-known workflow management systems for bioinformatics, aims to make comput

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Suitable data formats for seismological big data provisioning via web services

Seismology is one of the most advanced and well organised disciplines considering FAIR principles

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Virtual definition of data sets according to RDA recommendations

The management of digital objects remains an area of interest that crosses disciplines, instituti

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