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CRAFT-OA is a EU-funded project aiming for strengthening and evolving of Europa-wide institutional publishing in Diamond Open Access. Diamond Open Access means no fees for publishing or reading of scholarly publications. The project is focusing on journal publishing, for what tangible services and tools will be implemented. 
  • Funding : 10,000,000.00 Euros

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.

  • Funding : 600,000.00 Euros

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.

EOSC United aims to anchor and unite the European research community within the European Open Science Cloud (EOSC) Federation, leveraging the blueprint and resources of the EOSC EU Node. The project supports uptake of EOSC services by researchers, infrastructures, data-providers, and industry, and contributes to shaping the governance, technical, and operational framework of the Federation.
  • Funding : 6,789,468.75 Euros

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.

GraspOS is a EU-funded project and  the aim is to investigate responsible research assessment approaches and interventions that take into consideration Open Science practices and to build a federated infrastructure that will act as an open data space offering data, indicators, tools, services and guidance to support and enable policy reform for research assessment. 
  • Funding : 19 997 225.21 Euros
The LLMs4EU project, coordinated by the Alliance for Language Technologies (ALT-EDIC), aims to preserve European linguistic and cultural diversity in the digital age through cooperation between economic and academic actors. Indeed, some European languages are threatened to be left aside from generative AI development due to the lack of resources to train language models.
  • Funding : 7,999,965.00 Euros

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.

  • Funding : 3 499 742.50 Euros
PATTERN is a 42-months coordination and support action whose aim is to promote the practice of Open and Responsible Research and Innovation by developing and piloting training activities for researchers at all stages of their careers. These trainings will strengthen their transferable skills, with the ultimate goal to empower higher education institutions and research organizations to embrace a transformative process to improve the excellence of the science conducted, the capacity within the European Research Area to tackle societal challenges and the interaction between science and society 
RAISE Suite aims to provide an all-in-one, FAIR-by-design data management infrastructure that supports the entire research data lifecycle — from collection to reuse. Based on unified Machine-Actionable Data Management Plans (ma-DMPs), it enables seamless data sharing and reuse across disciplines while ensuring compliance with FAIR principles (Findable, Accessible, Interoperable, Reusable).
  • Funding : 2,998,893.53 Euros

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.

  • Funding : 4 809 450.00 Euros
SciLake is a Horizon Europe project that aims to introduce and establish the concept of the scientific lake, a research ecosystem where scientific knowledge is contextualised, connected, interoperable, and accessible overcoming challenges related to the heterogeneity and large interconnectivity of the underlying data.