Report on the Workshop "Co-creating the EOSC: Needs and requirements for future research environments"

Akgun, Omer Can; Bazilinskyy, Pavlo; Budroni, Paolo; Démoulin, Baptiste; Dias, Frédéric; Flicker, Katharina; Gazzola, Valeria; Giroletti, Juliana; Grossi, Valerio; Günes, Murat; Leidel, Sebastian A.; Leppert, Linn; Mangeney, J.; Gonzalez, Isabel Nogues; O'Neill, Gareth; Ramadan, Husam A.; Rauber, Andreas; Rezaei, Mohammad; Rychnovská, Dagmar; Solís, Barbara Sánchez; Saurugger, Bernd; Steiner, Ullrich; Stocker, Markus; Susi, Toma; Verde, Licia

doi:10.5281/zenodo.3701194

Cited by 8 publications

(1 citation statement)

References 2 publications

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“…In 2018, the European Commission expert group on FAIR data provided a follow-up report (European Commission 2018) including an action plan with recommendations for stakeholders to take towards a FAIR ecosystem, calling for discipline-aware implementations of EOSC-related infrastructure centred around FAIR Digital Objects, including scholarly information. Similarly, the 2020 EOSC Secretariat Workshop (Akgun et al 2020) on "Co-creating the EOSC: Needs and requirements for future research environments" underscored the need for services for machine actionable scholarly information sharing. Below, we illustrate this need with an example user story and associated scenario to highlight the problems of the current document-centric information flows and how our proposal SKG4EOSC innovatively addresses them.…”

Section: Excellence 11 Objectives and Ambitionmentioning

confidence: 99%

SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC

Stocker¹,

Heger²,

Schweidtmann³

et al. 2022

RIO

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In the age of advanced information systems powering fast-paced knowledge economies that face global societal challenges, it is no longer adequate to express scholarly information - an essential resource for modern economies - primarily as article narratives in document form. Despite being a well-established tradition in scholarly communication, PDF-based text publishing is hindering scientific progress as it buries scholarly information into non-machine-readable formats. The key objective of SKG4EOSC is to improve science productivity through development and implementation of services for text and data conversion, and production, curation, and re-use of FAIR scholarly information. This will be achieved by (1) establishing the Open Research Knowledge Graph (ORKG, orkg.org), a service operated by the SKG4EOSC coordinator, as a Hub for access to FAIR scholarly information in the EOSC; (2) lifting to EOSC of numerous and heterogeneous domain-specific research infrastructures through the ORKG Hub’s harmonized access facilities; and (3) leverage the Hub to support cross-disciplinary research and policy decisions addressing societal challenges. SKG4EOSC will pilot the devised approaches and technologies in four research domains: biodiversity crisis, precision oncology, circular processes, and human cooperation. With the aim to improve machine-based scholarly information use, SKG4EOSC addresses an important current and future need of researchers. It extends the application of the FAIR data principles to scholarly communication practices, hence a more comprehensive coverage of the entire research lifecycle. Through explicit, machine actionable provenance links between FAIR scholarly information, primary data and contextual entities, it will substantially contribute to reproducibility, validation and trust in science. The resulting advanced machine support will catalyse new discoveries in basic research and solutions in key application areas.

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Section: Excellence 11 Objectives and Ambitionmentioning

confidence: 99%