2023
DOI: 10.1016/j.cosrev.2023.100571
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A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications

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Cited by 3 publications
(2 citation statements)
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“…Two main challenges are (i) building interdisciplinary groups and ensuring effective interactions between the disciplinary experts, and (ii) engaging with civil society (a structured and sometimes lengthy process) by building trust between scientists and stakeholders (UNDRR, 2022b). Research infrastructures can foster the development of a transdisciplinary research community in the field of disaster risk (Peek et al, 2020) and provide powerful tools (e.g., data, codes, expertise) to research groups (e.g., Folch et al, 2023;Calatrava et al, 2023;Dañobeitia et al, 2020). Access and interaction with research infrastructures should therefore be promoted and encouraged among the disaster risk community to exploit these opportunities.…”
Section: Transdisciplinaritymentioning
confidence: 99%
“…Two main challenges are (i) building interdisciplinary groups and ensuring effective interactions between the disciplinary experts, and (ii) engaging with civil society (a structured and sometimes lengthy process) by building trust between scientists and stakeholders (UNDRR, 2022b). Research infrastructures can foster the development of a transdisciplinary research community in the field of disaster risk (Peek et al, 2020) and provide powerful tools (e.g., data, codes, expertise) to research groups (e.g., Folch et al, 2023;Calatrava et al, 2023;Dañobeitia et al, 2020). Access and interaction with research infrastructures should therefore be promoted and encouraged among the disaster risk community to exploit these opportunities.…”
Section: Transdisciplinaritymentioning
confidence: 99%
“…The resulting data are then transferred and stored in cloud-storage services offered by the EGI-DataHub. The Data Management Plan (DMP) serves as the primary resource that integrates all the requirements for implementing the Open Science paradigm within LAGO [7]. It guarantees adherence to the Findability, Accessibility, Interoperability, and Reusability (FAIR) principles for the results and establishes the format of the data and metadata, as well as the protocol for generating, storing, and accessing the results [5].…”
Section: Pos(icrc2023)242mentioning
confidence: 99%