10:40 Semantic interoperability for data and metadata
This session will address some of the critical challenges to achieving semantic interoperability by showcasing a selection of solutions for encoding research information as data, metadata and semantic artefacts to realise the promise of the FAIR Principles—that is, machine-actionable, Findable, Accessible, Interoperable, and Reusable data and services. The session gathers speakers from different communities to jointly illustrate the state-of-the-art for semantic interoperability in EOSC initiatives and the wider research community.
The session aims to describe some of the most promising solutions to technical and non-technical aspects with regards to work on semantic interoperability while highlighting challenges and opportunities for future collaborations. It also aims to illustrate the semantic interoperability aspects of FAIR digital object metadata. The target audience is research stakeholders who are involved in cultivating or operationalising standards, tools, processes and people to enable interoperability within and between research data infrastructures. And participants will be encouraged to share information about relevant initiatives, emerging resources and invitations to join upcoming activities.
Interoperability is at the heart of the FAIR principles and achieving interoperability at the semantic level is to ensure that the intended meaning of data and information is preserved and understood throughout exchanges across tools, workflows and data infrastructures—in other words ‘What is sent is what is understood’. In 2021, the EOSC Executive Board Working Groups FAIR and Architecture published a set of recommendations and principles to guide the creation of the EOSC Interoperability Framework, organised into 4 layers of interoperability, where the Semantic interoperability Layer combines a machine-based view with the human aspects of aligning concepts in exchanges of relevance to EOSC. The presentations of this session will illustrate and expand on some of the concepts introduced in the report. Notably, a semantic artefact can be loosely described as representing a conceptualisation in a way that it can be exchanged and used by people and software tools to encode and decode information as data in a predictable way.
|10:40-10:48||Opening and introduction to the session||Wolmar Nyberg Åkerström|
Uppsala University and the National Bioinformatics Infrastructure Sweden (NBIS) / ELIXIR Sweden
|10:48-10:56||Semantic artefacts and their representations||Yann Le Franc|
e‐Science Data Factory S.A.S.U.
|10:56-11:04||Catalogues of semantic artefacts and their governance||Susanna-Assunta Sansone|
University of Oxford
|11:04-11:12||Mappings, crosswalks and alignment||Daan Broeder|
|11:12-11:20||Implementation examples||Alexandra Kokkinaki|
British Oceanographic Data Centre (BODC)
|11:20-11:40||Q&A and Panel discussion: Opportunities to promote and converge on best practices |
Opportunities to promote and converge on best practices
|Daan Broeder, CLARIN, FAIRCORE4EOSC|
Yann Le Franc, e‐Science Data Factory S.A.S.U.
Clement Jonquet, INRAE
Alexandra Kokkinaki, British Oceanographic Data Centre (BODC)
Susanna-Assunta Sansone, University of Oxford
Christelle Pierkot, Data Terra RI
Alessandro Rizzo, French Institute on Research for Sustainable Development