Fair Data productivity and advanced digitalization of research: an opinion paper by the ESFRI-EOSC Task Force and Steering Board expert group (E03756)
(…) The ESFRI-EOSC Task Force has embarked on a concerted effort to address the issue of Quality-Assessed FAIR-Data (QAFAIRD) productivity. Key aspects of this initiative include evaluating the current level of FAIR data productivity in Research Infrastructures (RIs) and clusters, striving for ideal FAIR data productivity and quality control, identifying bottlenecks hindering FAIR data productivity, and determining the necessary EOSC services to enhance FAIR data productivity. Additionally, the group examines the impact of AI tools and solutions on FAIR data management, as well as the potential influence of AI-based research protocols on research conducted by RIs, clusters, and the broader scientific community. (…) »
