FAIR-IMPACT focuses on expanding FAIR solutions across the EOSC. It builds on the results of FAIRsFAIR and other relevant projects and initiatives. The project aims to realise a FAIR EOSC, that is an EOSC of FAIR data and services. FAIR-IMPACT will identify proven domain solutions and facilitate the interoperable uptake of these solutions across scientific domains and for different types of research output. This includes the overall FAIRification of various research objects from assigning and managing identifiers, describing them with shared and common semantics to making them interoperable and reusable, as well as the challenge of projecting the FAIR principles to other types of research objects such as software. FAIR-IMPACT meets these challenges through three work packages which identify and adapt candidate approaches, tools and solutions suitable for wider adoption, and two work packages focussing on interoperability, adoption and support. Scientific communities are included in the consortium as integrated use case partners. This will ensure that viable and tested solutions from one domain can be piloted in others and help to achieve wider uptake, adoption, implementation of, and compliance with the FAIR principles. As the project unfolds, additional support mechanisms (cascading grants, in-kind support) will be introduced. The FAIR-IMPACT ambition is to build a web of FAIR data and related services together with the scientific community and relevant stakeholder groups, and to take steps towards realising the ambition of a web of Open Science. FAIR-IMPACT will contribute to transforming the way researchers share and exploit research outputs within and across research disciplines? and to the facilitation of scientific multi-disciplinary cooperation. With its focus on increasing FAIRness, FAIR-IMPACT will contribute to improving public trust and reproducibility in science.

The LUMEN project is a groundbreaking initiative aimed at revolutionizing cross-domain collaboration and discovery processes in the fields of Mathematics (Maths), Social Sciences and Humanities (SSH), Earth System (ES), and Molecular Dynamics (MD), and beyond. Leveraging the successful GoTriple platform, renowned for its service to the SSH community, LUMEN seeks to extend its functionality to foster interoperability across scientific domains. Through interdisciplinary solutions spanning all four domains, LUMEN will redefine the process of discovery with radical innovations, simplifying initial research phases and facilitating access to advanced AI-powered tools for researchers. By expanding existing discovery platforms in the SSH and Maths domains and developing new platforms for other domains, LUMEN aims to fundamentally transform EOSC services, promoting innovative and customizable solutions for data discovery, attracting new users, and fostering Open Science principles. The project will also drive multidisciplinary cooperation through collaborative platforms and onboard new scientific communities into EOSC, providing them with the necessary tools. Ultimately, LUMEN seeks to revolutionize how research outputs are created, shared, and utilized across scientific domains, enhancing scientific discoveries, fostering interdisciplinary collaboration, and promoting innovation and trust in European scientific research.

OntoCommons lays the foundation for interoperable and standardised data documentation across all materials and manufacturing domains, thereby facilitating data sharing and pushing data-driven innovation to bring out a truly Digital Single Market and new business models for European industry to meet the opportunities of digitalisation and sustainability challenges. This will be achieved by coordinating a wide range of EU stakeholders for the development of an Ontology Commons EcoSystem (OCES) that comprises a set of ontologies and tools following specific standardisation rules. OCES provides a sustainable approach to harmonised data documentation through ontologies, making the data FAIR (Findable, Accessible, Interoperable and Reusable), and implementing practical and user-friendly mechanisms of intra- and cross-domain interoperability focusing on materials and manufacturing sectors. Demonstration cases with strong industrial involvement covering a wide range of NMBP application domains and stakeholders’ feedback loops will guide the OCES development to prove its effectiveness in accelerating data-driven innovation. OntoCommons represents relevant stakeholder knowledge by bringing together a consortium from a wide range of communities, including subject-matter experts (e.g. material scientists), ontologists (e.g. philosophers, semantic web experts), implementers (e.g. database experts), industrial end users (e.g. manufacturers), and application developers. OntoCommons will achieve its aims through activities consistent with its CSA nature, building on communication, networking, coordination and cooperation between EU and international stakeholders connected with relevant National, European and international projects, initiatives and bodies (incl standards organisations) facilitating the access to the available state of the art and emerging tools and solutions as well as the harmonisation of already existing EU funded initiatives, making efficient use of EU resources

Now the H2020 EOSC pilot project has taken the first steps towards creating the blueprint for an open European Science Cloud, this proposal aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR. Keeping in mind that there is no ‘one size fits all’, the consortium will focus on all scientific communities for supporting, creating, further developing and implementing a common scheme to ensure data development, wide uptake of and compliance with FAIR data principles and practices by data producers as well as national and European research data providers and repositories contributing to the EOSC. Furthermore, the consortium will closely collaborate with other relevant (global) projects and initiatives already on the way e.g. GO-FAIR, Research Data Alliance (RDA), World Data System (WDS), CODATA. We will provide a platform for using and implementing the FAIR principles in the day to day work of national and European research data providers and repositories. The consortium cooperates with other projects that will be funded under the INFRAEOSC-05-2018 topic (e.g. the EOSC governance (5a) and where appropriate 5b, the projects funded in the INFRAEOSC-04-2018 topic (e.g. the ESFRI clusters SSHOC, PANOSC, ENVRI FAIR, ESCAPE and EOSCLife) and with the EOSC coordination structure developed in the existing EOSC-pilot and EOSC-hub projects. According to the research data life cycle (planning/creating, processing, analysing, preserving and reuse) the consortium partners have defined goals, activities and outputs on - making data FAIR through research workflows - ensuring long-term preservation of data - making data FAIR through data curation - improving accessibility of research data (e.g. legal barriers) - improving findability of data through creation and interconnection of metadata catalogues - curricula/education

Social Sciences and Humanities (SSH) provide essential knowledge to society, informing our shared cultural, economical and ethical decisions. However, SSH knowledge remains largely disconnected and poorly available, impeding its full potential in research and societal applications. The GRAPHIA project aims to build the first comprehensive SSH Knowledge Graph (KG) that integrates currently disconnected data into a single entry point, leveraging existing infrastructure and data resources. GRAPHIA aspires to significantly improve SSH data visualisation and analysis capacities, pioneer advanced AI solutions tailored for SSH and develop re-usable, cutting-edge digital tools. GRAPHIA addresses the unique opportunities posed by the qualitative, diverse and context-rich data typical of SSH research where existing solutions fall short. GRAPHIA's innovative approach, centered around the KG, provides an expansive representation of SSH knowledge, while leveraging AI for its enrichment, access and deeper analysis, including an LLM4SSH. GRAPHIA aims to empower researchers to uncover patterns and insights from unstructured data, illuminating social phenomena and cultural trends with unprecedented clarity. A key component of GRAPHIA is the SSH Citation Index, an innovative framework for citation data extraction and enrichment across all SSH disciplines that dramatically speeds up access and understanding of previous literature on any topic. GRAPHIA transcends traditional research approaches by integrating industry partners into a cohesive partnership, which is pivotal to amplify the project's impact, drive forward innovations that are not only academically significant but also commercially viable, provide access to new markets and technologies and foster an environment of co-innovation. GRAPHIA is committed to open science and increasing EU Research Infrastructures capabilities, enhancing global competitiveness, while facilitating broad and long-lasting impact of project results.