FAIR-IMPACT

In this poster we present the FAIR-IMPACT project, “Expanding FAIR solutions across EOSC”, which is funded by European Commission Horizon Europe programme. The acronym stands for Findable, Accessible, Interoperable and Reusable. project coordinated DANS supported 27 additional partners from 11 countries. will build on successful practices, policies, tools technical specifications arising FAIRsFAIR other H2020 projects initiatives, relevant Working Groups of former Open Science Cloud (EOSC) Executive Board. active between June 2022 May 2025. Cascading grants be available to support uptake practices. overall objective realise a EOSC, that an EOSC data services, supporting implementation FAIR-enabling practices scientific communities research outputs at European, national, international level. Advancing findability, accessibility, interoperability reusability (“FAIRness”) objects are core closely collaborates with FAIRCORE4ESOC (https://faircore4eosc.eu/ ). We coordinate frameworks alignment metadata persistent identifiers (PIDs) in order achieve wide compliance principles national providers repositories. our work Among things aim coherent PIDs more exact citation, as services then able better quality suitable PID solutions. A broader targeted use PIDs, based end-user needs, can trust risk management requires collaboration among service developing policies. Special attention paid reproducibility sensitive data. As semantic artefacts important element creating interoperability, they also regarded digital their own recommendations implementation, software. together address like kernel information profiles highly objects. focus increasing accessibility through enhancing all levels, specific steps taken outlined (The Interoperability Framework). Validation components mechanisms disciplines, fostering nine Data Spaces, DAMA framework (DAMA-DMBoK), i.e. ecosystem, relevance. Metrics assessment addressed extend adapt object metrics F-UJI tool disciplinary-context aware include discipline tests. how implemented within identified managed.