Project deliverable Open Access
Di Donato, Francesca; Eskevich, Maria; Provost, Lottie; Kraker, Peter; Van Uytvanck, Dieter; Vignoli, Michela; König, Alexander; Thiel, Carsten; Tetteh Ocansey, Joshua; Lombardo, Tiziana; Pohle, Stefanie; Tóth-Cifra, Erzsébet; Chen, Yin; Blotière, Emilie
The report Open Science within the EOSC collects the findings of T6.3 EOSC guidelines training and advocacy on Open Science, whose main goal is to produce, adapt and reuse general and specific guidelines to implement Open Science practices in disciplinary contexts, as well as to provide training to the SSH community on Open Science practices, tools and EOSC related
In T6.3 we delivered 12 training sessions and all training materials are published in open access1. In addition, we designed, developed and implemented an open workflow for the definition and management of the Open Science Training series, through the definition of a TRIPLE Training Toolkit, which reproduces the guidelines that have been designed and implemented to produce FAIR-by design training events. This set of documents constitutes section 1 of the present deliverable.
Moreover, section 2 of the report presents four use-cases which address Open Science-related issues from different perspectives. The first subsection (CNR) sheds light on pathways for interdisciplinary collaboration and managing networking challenges. The second subsection (OKMAPS) addresses the need for improved discoverability of resources across research publications, research data and research projects. The third (CLARIN) shows how the connection between data, tools and publications can be implemented and made public. A model is explored to enrich the metadata about language resource data and tools from the CLARIN
Resource Families with related publications, making use of the GoTriple platform. This cross-connects the CLARIN Virtual Language Observatory, the SSHOC Open Marketplace and the GoTriple platform. The last subsection (CESSDA) examines the balance between making data more accessible and aligning with legal restrictions. It explains how data is aligned internally to
make them easily harvestable, and how, in turn, enrichment features from EOSC (OpenAIRE) and GoTriple systems will be used to improve data at their original sources.
D6.5 Report on Open Science within the EOSC.FINAL.pdf
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