Social Sciences and Humanities (SSH) research is divided across a wide array of disciplines and languages. While this specialization makes it possible to investigate the extensive variety of SSH topics, it also leads to a fragmentation that prevents SSH research from reaching its full potential. Use and reuse of SSH research is low, interdisciplinary collaboration possibilities are often missed, and as a result, the societal impact is limited. TRIPLE, the European discovery solution, addresses these issues: it enables researchers to discover and reuse SSH data, but also other researchers and projects across disciplinary and language boundaries. It provides all necessary means to build interdisciplinary projects and to develop large-scale scientific missions. It will thus increase the economic and societal impacts of SSH resources. Thanks to a consortium of 19 partners, TRIPLE develops a full multilingual and multicultural solution for the appropriation of SSH resources. The TRIPLE platform provides a 360° discovery experience thanks to linked exploration provided by the Isidore search engine developed by CNRS and a coherent solution providing innovative tools to support research (visualisation, annotation, trust building system, crowdfunding, social network and recommender system). TRIPLE imagines new ways to conduct, connect and discover research; it will promote cultural diversity inside Europe; it will support scientific, industrial and societal applications of SSH science; it will connect researchers and projects with other stakeholders: citizens, policy makers, companies, enabling them to take part in research projects or to answer to some of their issues. TRIPLE will be a dedicated service of OPERAS RI and become a strong service in the EOSC marketplace. To conclude, TRIPLE will help SSH research in Europe to gain visibility, to be more efficient and effective, to improve its reuse within SSH and beyond and to dramatically increase its societal impact.

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.

The OPERAS-PLUS project will support the further development of OPERAS in its preparatory phase of new ESFRI Research Infrastructure projects. OPERAS is the Research Infrastructure dedicated to enhance open scholarly communication for the Social Sciences and the Humanities in the European Research Area (ERA). Designed as a distributed infrastructure, it was incorporated as an AISBL in 2019. OPERAS entered the ESFRI roadmap in 2021 and is now on its path to become operational as an ERIC in 2028. The OPERAS-PLUS project will serve the OPERAS community with its wide variety of small-sized stakeholders, which are committed to make open scholarly communication the default practice in Social Sciences and Humanities in the ERA. In that sense, OPERAS-PLUS will provide an operational and efficient framework to meet the needs and objectives of the OPERAS community with solutions of utmost quality, thus fulfilling the European Commission‘s expectations of scientific excellence. The project’s main objectives are 1) to develop and strengthen OPERAS governance structure, especially financial, legal, and human resource management aspects of the infrastructure central hub in a sustainable way, compliant with Research Infrastructure management best practises; 2) to support the establishment and development of OPERAS national nodes, set up and manage the workflow of bidirectional exchange with the central hub; 3) to develop OPERAS portfolio of services by providing both required technology and a monitoring system for services development via an Innovation Lab dedicated to this task; and 4) to maximise OPERAS’ impact in the ERA and at an international level by extending it beyond its current scope and onboarding new members and countries in the infrastructure.

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.