FAIR research data in the Social Sciences and Humanities

Abstract

CO-OPERAS (https://www.go-fair.org/implementation-networks/overview/co-operas/) and SSHOC (https://sshopencloud.eu/) share a similar task: supporting researchers in the social sciences and humanities to integrate their work and results according to the FAIR principles. To this end, SSHOC and CO-OPERAS organised a joint workshop revolving around FAIR principles for research data in the SSH on the one hand and the development of the SSH Open Marketplace on the other. They asked participants to talk about their needs and experiences with the FAIR principles in their own research realities and then, not independently from this discussion, to give feedback about the conception of the SSHOC Open Marketplace. The idea of organizing a series of workshops in small local settings and in native languages - in this case in German - in order to anchor and align the FAIR principles with individual research practices was coming from the CO-OPERAS GO-FAIR Implementation Network. Already followed by a series of events in Italy (Turin), Portugal (Coimbra), and France (Marseilles), the concept has been proven in Göttingen as well: the uptake of the workshop was, with 28 participants from across the whole country, very good. The German language approach considerably lowered the threshold to give feedback and formulate own ideas. The first part of the workshop was dedicated to the FAIR principles following the concept and structure of the previous CO-OPERAS workshops. Like in the previous events, participants with different research background (history, art history, theology, political science, Romance studies, German studies, Japanese studies, archaeology, cultural anthropology, coptology, philosophy) discussed the following complexes of questions: What are the research data in your discipline and what role does research data management play for your academic work? How the FAIR principles are aligned with your data collection practices? How the FAIR principles are aligned with your data processing practices? How the FAIR principles ...