Social Sciences & Humanities Open Cloud


Funded by: European Commission  
Calls: H2020-EU1.4.1.1
Start date: 2019-01-01  End date: 2022-04-30
Total Budget: EUR 14.455.546,00  INO share of the total budget: EUR 107.500,00
Scientific manager:    and for INO is: Striova Jana

Web Site: Visit

Organization/Institution/Company main assignee: CESSDA ERIC

other Organization/Institution/Company involved:

other INO’s people involved:
Benassi Laura
Pezzati Luca
Usala Francesca

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 EOSC-hub 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.

The Scientific Results:
1) The ESFRI Clusters at RDA House of Commons