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Search: onr:"swepub:oai:DiVA.org:uu-511102" > Converging on a Sem...

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Converging on a Semantic Interoperability Framework for the European Data Space for Science, Research and Innovation (EOSC)

David, Romain (author)
European Research Infrastructure on Highly Pathogenic Agents (ERINHA)
Baumann, Kurt (author)
SWITCH
Franc, Yann Le (author)
e-Science Data Factory
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Magagna, Barbara (author)
GO FAIR Foundation
Vogt, Lars (author)
TIB Leibniz Information Centre for Science and Technology
Widmann, Heinrich (author)
German Climate Computing Center (DKRZ)
Jouneau, Thomas (author)
Université de Lorraine
Koivula, Hanna (author)
CSC - IT Center for Science
Madon, Bénédicte (author)
Escuela Superior de Ingenieros
Nyberg Åkerström, Wolmar (author)
Uppsala universitet,Institutionen för cell- och molekylärbiologi
Ojsteršek, Milan (author)
University of Maribor, Faculty of Electrical engineering and Computer Science
Scharnhorst, Andrea (author)
DANS-KNAW
Schubert, Chris (author)
Vienna University of Technology (TU Wien)
Shi, Zhengdong (author)
Université Paris-Saclay, Directorate of Libraries, Information and Open Science
Tanca, Letizia (author)
Politecnico di Milano, Department of Electronics, Information and Bioengineering
Vancauwenbergh, Sadia (author)
UHasselt
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 (creator_code:org_t)
2023
2023
English.
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Semantic interoperability (SI) is at the heart of the FAIR principles and of the design of large scale cross disciplinary infrastructures. The European Open Science Cloud (EOSC) is a European-wide effort towards such an infrastructure, aiming to deepen the regional research collaboration and realising a shared data space for science, research and innovation. In this context, the research community’s voice is represented by the EOSC Association (EOSC-A) and a number of advisory groups with a broad range of representatives from different stakeholder organisations. The advisory group on metadata and data quality has formed a task force focusing on developing and implementing recommendations for SI (EOSC SI Task Force) with the ambition to converge on globally relevant and scalable SI solutions for EOSC. This paper provides context to SI in EOSC, the various components contributing to it, as well as some views on the socio-technical challenges to arriving at a consensus. In particular, the paper provides motivation for exploring the heterogeneity of SI solutions demonstrated across scientific communities and insight into the task force’s planned approach to conduct a survey to identify relevant components and structures. The paper is also an invitation to the global community to align and engage with the task force’s activities going forward.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

Computer Systems Sciences
Data- och systemvetenskap

Publication and Content Type

ref (subject category)
kon (subject category)

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