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Social Science & Humanities Open Cloud (SSHOC CESSDA)


Leader
Elizabeth Bishop

Abstract

The project aims to provide a full-fledged Social Sciences and Humanities Open Cloud (SSHOC) where data, tools, and training are available and accessible for users of SSH data. The focus of the project is determined by the goal to further the innovation of infrastructural support for digital scholarship, to stimulate multidisciplinary collaboration across the various subfields of SSH and beyond, and to increase the potential for societal impact. The intention is to create a European open cloud ecosystem for social sciences and humanities, consisting of an infrastructural and human component. Development, realisation and maintenance of user-friendly tools & services, covering all aspects of the full research data cycle will be built, taking into account human-centric approach and creating links between people, data, services and training. SSHOC will encourage secure environments for sharing and using sensitive and confidential data. Where relevant, the results of EOSChub H2020 project will be adopted. The SSHOC will contribute to the Open Science agenda and realising the EOSC. This project aligns with prescribed cluster activities in order to realise a SSH cloud that can fully encompass infrastructural support for the study of social and cultural phenomena. Moreover, the planned SSH Cloud is instrumental to Europe's multilingualism; data in Europe is often available in multiple languages thus making a strong incentive for comparative research of the societal and cultural phenomena that are reflected in language use. The SSH Cloud shall contribute to innovations stemming from the coupling of these heterogeneous data types - and work on the interoperability principle of FAIR. In one of the projects, GESIS will look into the (re-)use of multilingual corpora derived from social sciences surveys (ESS, EVS, etc.). The main focus will be on their re-use for future translation projects. GESIS will also be involved in the testing of machine translation.





Runtime
01.01.2019 – 30.04.2022

Sponsored by

EU / H2020