Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41709
Title: 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
Wildmann, Heinrich
Jouneau, Thomas
Koivula, Hanna
Madon, Bénédicte
Nyberg Akerstrom, Wolmar
Ojstersek, Milan
Scharnhorst, Andrea
Schubert, Chris
Shi, Zhengdong
Tanca, Letizia
VANCAUWENBERGH, Sadia 
Issue Date: 2023
Publisher: Zenodo
Source: 2nd Workshop on Ontologies for FAIR and FAIR Ontologies (Onto4FAIR), Sherbrooke, Québec, Canada, May 2023
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.
Keywords: Semantic interoperability;European Open Science Cloud;Crosswalk;Roadmap;Interoperable;FAIR Principles;definitions;linked data;machine actionability
Document URI: http://hdl.handle.net/1942/41709
Link to publication/dataset: https://zenodo.org/record/8042997
DOI: 10.5281/zenodo.8042997
Category: C2
Type: Conference Material
Appears in Collections:Research publications

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