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Speaking FAIR implementation: moving from recommendations to supporting practical implementation by service providers

Authors: Toli, Eleni; Coen, Gerard; Papadopoulou, Elli; Athenodorou, Andreas; Vassalo, Valentina; Szaldobagyi, Adam;

Speaking FAIR implementation: moving from recommendations to supporting practical implementation by service providers

Abstract

Semantic artefacts are important aspects of the FAIR principles and therefore the EOSC, which is being designed to enable them: EOSC as the “Web of FAIR data”. Since the FAIR principles were published, recommendations for the compliance of researchers have been articulated in various guides. Training is also offered by actors, such as OpenAIRE, RDA, and CODATA. Recently, discussions have shifted focus to the role of Research Infrastructures and Service Providers to address actions needed for enabling the FAIRness of data. Considering that services handle data as input and/or output in their workflows. This session is coordinated by NI4OS-Europe, in collaboration with FAIRsFAIR. NI4OS-Europe will highlight an activity to strengthen capacity of stakeholders to enable aspects of the FAIR principles which are most closely related to metadata and ontologies. Similarly FAIRsFAIR will present its work in this area. NI4OS-Europe Group of Experts: established to contribute to NI4OS-Europe activities via training and focused group discussions. The aim is to articulate best practices for FAIR implementation and provide a pathway on integrations and/or alterations that are necessary for enhancing existing services or new services that are onboarded to EOSC via the NI4OS-Europe pre-production environment. This collaboration contributes to maximizing compliance with the FAIR principles as well as offering experts the possibility of onboarding their services via NI4OS-Europe. The FAIRsFAIR “FAIR Semantics” Task: aims to support the creation of a federated semantic space by harmonising practices in the development and usage of semantics in representing and describing information and knowledge. It establishes guidelines for practitioners, repositories, the community, and related stakeholders. The FAIR Semantics recommendations consist of 17 Preliminary Recommendations related to the FAIR principles, and 14 Best Practices aimed at harmonising the approach to handling, using and developing semantic artefacts.

Keywords

Metadata, Research Data Management, FAIR implementation, Semantics, Research data services

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selected citations
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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