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 midterm review of the Sendai Framework highlights persistent challenges in disaster risk reduction (DRR), particularly the lack of coordination between disaster risk agencies, sectoral ministries, stakeholders, and policies, hindering coordinated planning and effective decision-making. Recent disasters, such as the 2024 Spain Valencia flood and the 2020 Gjerdrum quick clay landslide in Norway, reveal governance weaknesses, inadequate risk management, and communication barriers, intensifying disaster impacts. These events demonstrate the need for integrated, multi-sectoral coordination, decentralisation, and better risk-informed decision-making. A positive example is Greece's wildfire risk management system, which integrates science and technology for improved governance in DRR. However, gaps in local- and regional-level implementation persist. The TOGETHER project aims to address these challenges, focusing on multi-level and cross-sectoral coordination to build a disaster-resilient society amidst climate change and multi-hazard risks. The final outcome of this project is a toolkit that embodies three innovations: (1) Five interoperability frameworks (legal, organisational, technical, semantic, and cross-domain) to provide FAIR data, (2) a multi-tool system (MTS)- an intelligent AI agent to generate insights using the FAIR data for Disaster Risk Management Governance (DRMG), and (3) DRMG that comprises innovative solutions and existing systems and best practices to enhance multi-level and cross-sectoral interactions within the existing governance systems and protocols for more efficient disaster management coordination. The tool will implement a novel public-private-civic partnership (PPCP) approach in three Disaster Risk Management Innovation Hubs ( Norway, Greece, Spain) to co-create, co-evaluate, and demonstrate the functionalities. Two replication studies in Portugal and Türkiye will showcase the robustness of the toolkit for DRM.

Adaptation to climate change has become a central focus for researchers across various fields, including climate science, environmental science, urban planning, information science and social science, to support policymakers in making informed decisions to build a climate-prepared and resilient society. The major challenges in achieving this goal are (i) lack of seamless interaction between platforms, data spaces, and users, (ii) poor data interoperability as well as service interoperability, (iii) lack of infrastructural support for generating FAIR data, and (iv) legal barriers hindering access to data. CLIMATE-ADAPT4EOSC aims to overcome these challenges by providing an EOSC-centred collaborative research environment equipped with existing EOSC data and services and extended with new data and services, such as Interoperability, FAIRification, Research Results Publishing as Open Data, Data Adaptation, Data Format Compliancy, Mapping and Entity Matching, enabling interoperability and seamless interaction of data that allow the creation of extended services, e.g., Big Data Analytics for climate risk assessments. The project develops a climate change adaption ontology and an EOSC Climate-Adapt Knowledge Graph based on the ontology, supporting findability, accessibility, tracking and life cycle management of research outputs of various kinds, including data, scientific papers, methods, code, software packages and tools. CLIMATE-ADAPT4EOSC also develops three innovative services that provides support to EU Mission climate change adaptation and the European Green Deal. These services have been planned to be demonstrated in Five EU countries.

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.