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

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 EOSC-hub project creates the integration and management system of the future European Open Science Cloud that delivers a catalogue of services, software and data from the EGI Federation, EUDAT CDI, INDIGO-DataCloud and major research e-infrastructures. This integration and management system (the Hub) builds on mature processes, policies and tools from the leading European federated e-Infrastructures to cover the whole life-cycle of services, from planning to delivery. The Hub aggregates services from local, regional and national e-Infrastructures in Europe, Africa, Asia, Canada and South America. The Hub acts as a single contact point for researchers and innovators to discover, access, use and reuse a broad spectrum of resources for advanced data-driven research. Through the virtual access mechanism, more scientific communities and users have access to services supporting their scientific discovery and collaboration across disciplinary and geographical boundaries. The project also improves skills and knowledge among researchers and service operators by delivering specialised trainings and by establishing competence centres to co-create solutions with the users. In the area of engagement with the private sector, the project creates a Joint Digital Innovation Hub that stimulates an ecosystem of industry/SMEs, service providers and researchers to support business pilots, market take-up and commercial boost strategies. EOSC-hub builds on existing technology already at TRL 8 and addresses the need for interoperability by promoting the adoption of open standards and protocols. By mobilizing e-Infrastructures comprising more than 300 data centres worldwide and 18 pan-European infrastructures, this project is a ground-breaking milestone for the implementation of the European Open Science Cloud.

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.

EUDAT2020 brings together a unique consortium of e-infrastructure providers, research infrastructure operators, and researchers from a wide range of scientific disciplines under several of the ESFRI themes, working together to address the new data challenge. In most research communities, there is a growing awareness that the “rising tide of data” will require new approaches to data management and that data preservation, access and sharing should be supported in a much better way. Data, and a fortiori Big Data, is a cross-cutting issue touching all research infrastructures. EUDAT2020’s vision is to enable European researchers and practitioners from any research discipline to preserve, find, access, and process data in a trusted environment, as part of a Collaborative Data Infrastructure (CDI) conceived as a network of collaborating, cooperating centres, combining the richness of numerous community-specific data repositories with the permanence and persistence of some of Europe’s largest scientific data centres. EUDAT2020 builds on the foundations laid by the first EUDAT project, strengthening the links between the CDI and expanding its functionalities and remit. Covering both access and deposit, from informal data sharing to long-term archiving, and addressing identification, discoverability and computability of both long-tail and big data, EUDAT2020’s services will address the full lifecycle of research data. One of the main ambitions of EUDAT2020 is to bridge the gap between research infrastructures and e-Infrastructures through an active engagement strategy, using the communities that are in the consortium as EUDAT beacons and integrating others through innovative partnerships. During its three-year funded life, EUDAT2020 will evolve the CDI into a healthy and vibrant data-infrastructure for Europe, and position EUDAT as a sustainable infrastructure within which the future, changing requirements of a wide range of research communities are addressed.