Achieving the SDGs require the further creation of knowledge and development of technologies. FAIR Data further contributes directly to several SDG targets. First, it contributes to SDG target 17.1, which seeks to achieve international cooperation on and access to science, technology and innovation and enhance knowledge sharing. Second, it accelerates progress towards SDG target 9.5 which aims to enhance scientific research and upgrade technological capabilities. The ‘Our Common Agenda report’ stresses the need for ‘regulatory frameworks that ensure effectiveness and accountability and explore the development of a global code of conduct that promotes integrity in public information’ and highlights recent concerns about trust.
Science Europe is the organisation representing major public organisations that fund and perform excellent, ground-breaking research in Europe. Building on the experience of Science Europe and its members in research data, as well as the experience of other higher education and research organisations such as universities and research infrastructures, this session aims to advance FAIR data through identifying needs and gaps in the five large world regions, to build a common knowledge base and exchange good practices and solutions to challenges.This session will address how to move on by bringing together public scientific bodies to discuss how to best set up, manage and regulate FAIR research data spaces for science advancement. The dialogue will also stimulate an international discussion on how to reinforce data policies and practices for Open Science to contribute to the implementation of Agenda 2023 – and, in particular, SDGs 9 and 17.
It will be structured as a panel discussion, including speeches from panellists, who will be representatives from leading institutions that contribute to FAIR data implementation. An open discussion with the participants is foreseen. The speakers will present relevant experiences and good practices on:
- Sustainable research data – including the challenges and good practices in setting up and managing a Research Data Infrastructure and making data sustainable and available.
- Development and management of collaboration between relevant authorities and stakeholders to set up open data policies, structures, and practices.
- The development of Open Data models from the perspective of a research performer and/or research funder.
