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

Authors: David, Romain; Baumann, Kurt; Le Franc, Yann; Magagna, Barbara; Vogt, Lars; Widmann, Heinrich; Jouneau, Thomas; +9 Authors

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

Abstract

Semantic interoperability (SI) is at the heart of the FAIR principles and 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 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) 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 conducting 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.

This research is a product of the Task Force "Semantic Interoperability" of the EOSC-Association European, the legal entity established to govern the European Open Science Cloud (EOSC). Complementary support and information were provided through European projects "EOSC-Life" (No824087) and "FAIR Impact" (No101057344). This paper is linked to the Supplementary Material - Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, Bénédicte, Nyberg Åkerström, Wolmar, Ojsteršek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392 This Supplementary Material will be updated during the process of the survey-completion

{"references": ["Magagna, Barbara, Baumann, Kurt, David, Romain, Jouneau, Thomas, Le Franc, Yann, Koivula, Hanna, Madon, B\u00e9n\u00e9dicte, Nyberg \u00c5kerstr\u00f6m, Wolmar, Ojster\u0161ek, Milan, Scharnhorst, Andrea, Schubert, Chris, Shi, Zhengdong, Tanca, Letizia, Vancauwenbergh, Sadia, Vogt, Lars, & Widmann, Heinrich. (2023). Proposal for the EOSC Semantic Interoperability Questionnaire (1.0.2). 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Qu\u00e9bec (Canada). Zenodo. https://doi.org/10.5281/zenodo.8028392"]}

Countries
France, Belgium, Netherlands, France
Keywords

definitions, Semantic interoperability, Semantic interoperability European Open Science Cloud Crosswalk Roadmap Interoperable FAIR Principles definitions linked data machine actionability, machine actionability, linked data, European Open Science Cloud, FAIR Principles, Roadmap, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], [SCCO.COMP] Cognitive science/Computer science, Semantic Interoperability, European Open Science Cloud (EOSC), Crosswalk, Roadmap, Interoperable, FAIR Principles, definitions, linked data, machine actionability, Interoperable, Semantic interoperability, European Open Science Cloud, Crosswalk, Roadmap, Interoperable, FAIR Principles, definitions, linked data, machine actionability, Crosswalk

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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