ARION (HORIZON-WIDERA-2025-06-ERA-01-101287335), coordinated by OpenAIRE, advances responsible research assessment across Europe by turning established principles into practical, scalable solutions. Through narrative CVs, open infrastructure-enabled researcher profiles, institutional policies, and HR toolkits, the project supports fairer, more transparent and holistic assessment practices that recognise the full diversity of research contributions., coordinated by OpenAIRE, advances responsible research assessment across Europe by turning established principles into practical, scalable solutions. Through narrative CVs, open infrastructure-enabled researcher profiles, institutional policies, and HR toolkits, the project supports fairer, more transparent and holistic assessment practices that recognise the full diversity of research contributions.

EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders.

EOSC Mesh(HORIZON-INFRA-2025-01-EOSC-01-101292826) will strengthen the European Open Science Cloud by connecting seven federating Nodes with the EOSC EU Node across key scientific and infrastructure domains, including environmental sciences, health, social sciences and humanities, scholarly communication, high-energy physics and e-Infrastructures. The project will provide interoperable services, datasets, workflows and other research resources, while supporting the onboarding of additional services and research outputs through an open service-adoption programme. Through cross-node use cases and close involvement of research communities, EOSC Mesh will improve access to data and services, foster collaboration across disciplines and borders, and deliver practical benefits to researchers and organisations across Europe and beyond.

EOSC Track project aims to develop and operate the European Open Science Observatory, a policy intelligence tool that will monitor policies, investments, digital research outputs, skills and infrastructure capacities related to the Open Science and the European Open Science Cloud (EOSC). Its mission is to simplify and streamline monitoring in the European Open Science ecosystem, to bring a common understanding on how to collect and interpret data appropriate for monitoring, as well as to assist policymakers and research executives across Europe in understanding, shaping, and aligning Open Science and related policies and their implementation.

EOSC4ALL ( HORIZON-INFRA-2025-01-EOSC-01-101292412) will make participation in the EOSC Federation simpler and more accessible by lowering the technical and organisational barriers to deploying an EOSC Node. The project will deliver the GÉANT Digital Research Environment, a managed platform aligned with the EOSC Node Reference Architecture, and use it to deploy six production-ready EOSC Nodes. It will also provide federating capabilities for Authentication and Authorisation Infrastructure and Enterprise File Sync and Share, enabling organisations to connect services and research outputs securely across institutional, national and disciplinary boundaries. Through training, sustainability planning and reusable deployment solutions, EOSC4ALL will support the wider uptake and long-term operation of EOSC Nodes across Europe.

EVERSE project aims to create a framework for research software and code excellence, collaboratively designed and championed by the research communities across five EOSC Science Clusters and national Research Software Expertise Centres, in pursuit of building a European network of Research Software Quality and setting the foundations of a future Virtual Institute for Research Software Excellence. This framework for research software excellence will incorporate aspects involving community curation, quality assessment, and best practices for research software.

OSTrails aims to advance processes and instruments for Planning, Tracking, and Assessing scientific knowledge production beyond state-of-the art, working with various national and thematic contexts, improving existing infrastructure, and connecting key components. For the Plan stage, OSTrails aims to increase the efficacy of Data Management Plans, turning them from static narrative to living, interconnected “machine actionable” resources, making them the instrument of choice for improving quality of RDM. For the Track stage, OSTrails is set to establish an open, interoperable and high-quality ecosystem of Scientific Knowledge Graphs, enriching them to become evidence of communities’ FAIR implementations.

RAISE-CONNECT ( HORIZON-INFRA-2025-01-EOSC-02-101292695) develops AI-powered, domain-agnostic connectors that enable digital research objects—including data, software, experiments and results—to become FAIR, interoperable and reusable across repositories and data spaces. Building on existing EOSC-RAISE technologies, the project will introduce automated FAIRification services, a common repository connector framework and natural-language interfaces that allow researchers to discover, access and process digital objects with minimal technical effort. The solutions will be validated across more than 12 real-world repositories from diverse scientific domains, supporting reproducibility and making Open Science practices easier to integrate into everyday research workflows.

RenAI (HORIZON-INFRA-2025-01-EOSC-05-101291378) will advance the responsible use of Generative AI in science by developing domain-specific and cross-domain foundation models for European research communities. Trained on curated multimodal datasets, these models will support applications in areas such as environmental monitoring, biodiversity, energy and health research, while ensuring robustness, reproducibility and scientific credibility. Through a federated ecosystem aligned with the EOSC Federation, researchers will be able to discover, fine-tune and apply models using integrated tools for data transformation, benchmarking, compliance and synthetic data generation. RenAI will also deliver an intuitive AI-powered coResearcher assistant, lowering technical barriers and helping researchers interact with models, services and scientific workflows in a transparent, trustworthy and user-friendly way.

SCIANCE (HORIZON-CL4-2025-01-CSA-01293570)(AI in Science) will support the development of RAISE and coordinate AI-enabled scientific research across Europe through a bottom-up approach. The project mobilises leading European scientific organisations and research infrastructures across five pilot areas - fundamental physics and astronomy, materials science, life science, earth sciences, and social sciences and humanities - together with AI research centres and e-infrastructures. SCIANCE will identify AI-in-science research and innovation priorities and pilot the structure of the RAISE Secretariat for AI in science.