The RDA TIGER aims to provide services to facilitate and support well-defined Working Groups between key European and international initiatives, resulting in concrete alignment, harmonisation, and standardisation of Open Science developments and technologies globally. In particular the project will directly contribute to the European Open Science Cloud Partnership, by supporting (via the Working Groups) the international engagement and alignment of policies, technologies, methodologies, practices and other outputs of EOSC-related and other European Open Science developments; and develop and offer a service platform for these Working Groups, effectively identifying key partners for the groups, and increasing their work efficiency by facilitation and other support actions and ultimately maximising the impact WG results have on the EOSC, global Open Science, and society. RDA TIGER leverages the demonstrably effective instrument of community-driven RDA Working Groups and the foundations of EOSC, RDA, CODATA, Research Software Alliance (ReSA), and the Open Science movement in general, and provides a way to efficiently use the RDA platform for internationalisation and standardisation of research outputs that allow science to be reproducible and scrutinised. RDA TIGER service platform includes planning, engagement, communication, facilitation and finalisation services to the Working Groups, maximising the WG outputs, and their impact. Most of the RDA TIGER services have been tested in one form or another in earlier RDA-related projects both in Europe and internationally, demonstrating that they are realistic and achievable. RDA TIGERs ambition stems from the concentrated use of these services, together with systematic quality control and improvement mechanisms, and via the careful selection of Working Groups which will maximize the impacts relevant to the Work Programme.

EOSC EDEN will develop and establish a framework to identify what data are candidates to long-term preservation based on use, benefit, and quality and a model for re-appraisal points along data lifecycle and test usability. It will identify practices to support the creation of curation, long-term preservation, and access strategies in Europe. These outputs will be complemented by a set of user-centric tools, services, and standards that the project will develop to support the establishment of a European distributed infrastructure for long-term preservation, curation, and access in Europe. Namely, EOSC EDEN will build a registry to mainstream tools and services from trustworthy repositories and long-term archives into EOSC; will enhance and develop new services to automate preservation and curation actions and will identify standards and protocols to submit and exchange candidate packages for long-term preservation. The development of the services will be enabled via use cases and discipline-oriented pilots. The discipline-oriented pilots, developed by the early adopters of the project (meaning the representatives of the seven different disciplines directly part of the project) will test the EOSC EDEN outputs from a discipline-perspective ad will be key to inform the creation of a support-kit to guide and support new users in adopting the results of EOSC EDEN. To ensure adoption and long-term sustainability of the results EOSC EDEN will engage and collaborate with different types of stakeholders. One key player for the success of the project will be the HORIZON-INFRA-2024-EOSC-01-03 awarded project. Last but not least, EOSC EDEN will work to boost data curation and quality practices in Europe by creating awareness of the benefits and by enhancing skills in the area. In particular, the project will establish an expert curation network with a representation on organisation, repository (generalist/specialist), collection/catalogue and at digital object type level.

CODATA and RDA will work with a set of domain and cross-domain case studies to implement and test FAIR recommendations, including those for core interoperability, to develop a set of recommendations and a framework for FAIR assessment in each discipline or cross-disciplinary research areas involved. CODATA and RDA are uniquely positioned to lead and coordinate this activity, as the two preeminent international, interdisciplinary data organisations. The Case Studies have been carefully chosen to provide maximum impact. They are clustered in cognate groups in order to maximise scope while retaining a critical mass of activity and allowing learning and cross-fertilisation of ideas among them. Drawn from CODATA and RDA activities and partnerships, the Case Studies include leading organisations in a range of disciplines and cross-disciplinary research areas, such that the outputs will have global influence and impact. The methodology is designed to maximise coordination, while being sensitive to the status and requirements of each Case Studies discipline or cross-disciplinary research area. Each Case Study will perform a lightweight benchmarking and information gathering exercise through preparing a FAIR Implementation Profile, appropriately adapted to their discipline. This will lead into, and help inform, a fuller mapping of current best practices and emerging solutions and initiatives in their discipline. Taking into account good practices in their disciplines as well as the draft framework for core interoperability, and pertinent RDA recommendations, each case study will develop, pilot and possibly deploy interoperability standards and guidelines. Finally, the reports and recommendations from each Case Study will be synthesized and used to develop discipline specific frameworks for FAIR assessment and benchmarks.

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.