FAIRsFAIR

Over the past decade, infrastructure has become the indispensable backbone of science. e-infrastructures, research infrastructures, data infrastructures and other facilities, big and small; local, national and international; centralized or distributed; disciplinary and cross- or multi-disciplinary; consisting of computer networks, machines, grids, clouds, data centres, knowledge and expertise providers, methodological and standards groups, data-scientists and other data experts, e-science engineers, and so on. Now the time has come to fit these components and bring the people into an overarching commons, which the European Open Science Cloud aims to provide. The FAIRsFAIR project addresses, in a 36 months timeplan, the development and concrete realisation of an overall knowledge infrastructure on academic quality data management, procedures, standards, metrics and related matters, based on the FAIR principles. FAIRsFAIR - Fostering Fair Data Practices in Europe - 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. FAIRsFAIR will play a key role in the development of global standards for FAIR certification of repositories and the data within them contributing to those policies and practices that will turn the EOSC programme into a functioning infrastructure. In the end, FAIRsFAIR will provide a platform for using and implementing the FAIR principles in the day to day work of European research data providers and repositories. FAIRsFAIR will also deliver essential FAIR dimensions of the Rules of Participation (RoP) and regulatory compliance for participation in the EOSC. The EOSC governance structure will use these FAIR aligned RoPs to establish whether components of the infrastructure function in a FAIR manner.