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 Data Infrastructure Capacities for EOSC (DICE) consortium brings together a network of computing and data centres, research infrastructures, and data repositories for the purpose to enable a European storage and data management infrastructure for EOSC, providing generic services and building blocks to store, find, access and process data in a consistent and persistent way. Specifically, DICE partners will offer 14 state-of-the-art data management services together with more than 50 PB of storage capacity. The service and resource provisioning will be accompanied by enhancing the current service offering in order to fill the gaps still present to the support of the entire research data lifecycle; solutions will be provided for increasing the quality of data and their re-usability, supporting long term preservation, managing sensitive data, and bridging between data and computing resources. All services provided via DICE will be offered through the EOSC Portal and interoperable with EOSC Core via a lean interoperability layer to allow efficient resource provisioning from the very beginning of the project. The partners will closely monitor the evolution of the EOSC interoperability framework and guidelines to comply with a) the rules of participation to onboard services into EOSC, and b) the interoperability guidelines to integrate with the EOSC Core functions. The data services offered via DICE through EOSC are designed to be agnostic to the scientific domains in order to be multidisciplinary and to fulfil the needs of different communities. The consortium aims to demonstrate their effectiveness of the service offering by integrating services with community platforms as part of the project and by engaging with new communities coming through EOSC.

The goal of the FREYA consortium is to iteratively extend a robust environment for Persistent Identifiers (PIDs) into a core component of European and global research e-infrastructures. The resulting FREYA services will cover a wide range of resources in the research and innovation landscape and enhance the links between them so that they can be exploited in many disciplines and research processes. This will provide an essential building block of the European Open Science Cloud (EOSC). Moreover, the FREYA project will establish an open, sustainable, and trusted framework for collaborative self-governance of PIDs and services built on them. FREYA capitalises on the successes of the THOR project and will build on the core services of the existing trusted PID systems of the project partners, developing them in the context of established community-based services and more widely through the EOSC. The FREYA e-infrastructure components will be built on technologies and services that are already well proven. New services, and new PID types, will be introduced and moved up the scale of Technology Readiness Levels, so that the emerging e-infrastructure services are prototyped and positioned for evolution beyond the end of the FREYA project. The vision of FREYA is built on three key ideas: the PID Graph, PID Forum and PID Commons. The PID Graph connects and integrates PID systems to create an information map of relationships across PIDs that provides a basis for new services. The PID Forum is a stakeholder community, whose members collectively oversee the development and deployment of new PID types; it will be strongly linked to the Research Data Alliance (RDA). The sustainability of the PID infrastructure resulting from FREYA beyond the lifetime of the project itself is the concern of the PID Commons, defining the roles, responsibilities and structures for good self-governance based on consensual decision-making.

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.

FAIRCORE4EOSC focuses on the development and realisation of EOSC-Core components supporting a FAIR EOSC, addressing gaps identified in the SRIA. Leveraging existing technologies and services, the project will develop nine new EOSC-Core components aimed to improve the discoverability and interoperability of an increased amount of research outputs. FAIRCORE4EOSC will also contribute to the EOSC Interoperability Framework by establishing new guidelines on the new EOSC-Core components. The new components will be crucial to support the FAIR research life cycle. Five user-centric case studies (climate change, social sciences and humanities, mathematics, national research information systems, research data management communities) will drive the development and testing of the new components ensuring they are tailored to the user needs (co-design). All the selected case studies share similar challenges that are common to many other stakeholder groups: research communities at European and national level have datasets that currently cannot be found in the EOSC; they use Digital Object Identifiers (DOIs) but they are lacking PIDs for different levels of aggregation; they use community specific services to manage metadata that make cross-discipline reuse and interoperability complex. The user stories and best practices drawn by the case studies will be used to foster uptake of the new components beyond the project partners. The 22 complementary partners of the FAIRCORE4EOSC consortium have long-lasting experience in the provision and development of research data services, persistent identifiers, metadata and semantic registries, services and tools to archive and reference research software. The partners have also significantly contributed to the EOSC SRIA and are active members of the EOSC Association Task Forces (TFs) providing the project a unique insight and capacity to boost the development of the Web of FAIR Data and Related Services.