EOSC and Research Projects
EOSC and Research Projects
Information and practical resources on the European Open Science Cloud, EOSC Nodes, OpenAIRE, Horizon Europe requirements and the implementation of FAIR data practices in research projects.
This section explains how European open-science policies, research data infrastructures and project requirements are connected with the practical management, publication and reuse of research data.
It combines introductory materials on EOSC with guidance for research projects and examples of institutional and domain-specific implementation.
Purpose of this section
Research projects increasingly need to manage not only publications but also datasets, software, computational workflows, models and other digital research objects.
Their preparation requires coordination between researchers, data stewards, repositories, computing services, research infrastructures and project-management teams.
The materials in this section help connect project-level research data management with repository publication, OpenAIRE discovery, EOSC services and the development of institutional or thematic EOSC Nodes.
From policy to implementation
Understand
Learn what EOSC is, how the Federation is organised and what roles Nodes, services and research communities perform.
Plan
Translate Horizon Europe and open-science requirements into project data-management tasks and responsibilities.
Prepare
Create FAIR data packages, metadata, documentation and connected research objects suitable for repositories and catalogues.
Connect
Prepare research outputs, services and institutional capabilities for OpenAIRE, EOSC and federated research infrastructures.
What the section covers
EOSC ecosystem: the purpose, architecture, governance and development of the European Open Science Cloud.
EOSC Nodes and services: the role of Nodes, service providers, research communities and common Federation capabilities.
OpenAIRE: repository interoperability, metadata aggregation, research-output discovery and links between publications, data, software and projects.
Horizon Europe: open-science obligations, data management plans, FAIR data, repository deposit and responsible sharing of research results.
FAIR in research projects: practical integration of data-management activities into project planning, implementation and reporting.
Implementation cases: examples of developing governance, metadata, services and scientific workflows for participation in EOSC.
Research objects covered
Research data
Experimental, observational, computational and derived datasets created during research projects.
Software and workflows
Source code, scripts, computational environments, workflow specifications and executable research processes.
Models and instruments
Trained models, simulation configurations, scientific instruments and associated technical documentation.
Connected outputs
Publications, datasets, software, projects, organisations and people linked through persistent identifiers and typed relationships.
EOSC-oriented project workflow
1. Define responsibilities
Assign responsibility for data management, metadata, repositories, computing services and project reporting.
2. Plan research outputs
Identify datasets, software, workflows, models and documentation that will be produced.
3. Publish and connect
Deposit outputs in appropriate repositories and connect them through persistent identifiers and metadata.
4. Prepare for integration
Check catalogue exposure, service readiness, access conditions and compatibility with relevant infrastructures.
Explore EOSC and research projects
Browse introductory materials, practical project guidance and implementation examples covering EOSC, OpenAIRE, Horizon Europe and FAIR research data.
