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Open Science and Research Data Management: A FAIR European Postgraduate Programme

González-Vélez, Horacio, Dobre, Ciprian, Sánchez-Solis, Barbara, Antinucci, Giulia, Feenan, Dave and Gheorghe, Dana (2022) Open Science and Research Data Management: A FAIR European Postgraduate Programme. In: 2022 IEEE International Conference on Big Data (Big Data). IEEE, pp. 2522-2531.

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Official URL: https://doi.org/10.1109/BigData55660.2022.10020931

Abstract

Open Science is widely regarded as a culture that is characterised by the transparency and broad accessibility of scholarly work, where researchers share openly artefacts almost immediately and with a very wide audience. The overarching aim of this paper is to document the systematic development of a European postgraduate programme on Open Science and Research Data Management developed by the TRAINRDM project. TRAINRDM is a 30-month European Union funded project, which aims to develop a training network around Open Science and Research Data Management. We have applied a comprehensive survey collecting 239 responses from researchers across Europe, representative of 2.58 million individuals i.e. the total number of researchers employed in the EU-27 region. We then mapped out existing skills and offerings at different TRAINRDM partner institutions to produce a fully-online postgraduate programme with micro-credentials, fully distributed delivery, and compliance to FAIR principles to address academic and industrial research needs. The main outputs of the project are a training programme for Early Career Researchers delivered in Summer 2022, and the postgraduate programme (Master degree) to be fully validated under the European Qualifications Framework at Level 7 and delivered in 2023. The TRAINRDM curricula, teaching materials, data, and software are openly released under CC BY 4.0 and GPL licenses.

Item Type: Book Section
Additional Information: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Subjects: L Education > L Education (General)
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources
Q Science > QA Mathematics > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science > Computer Systems > Information Storage and Retrieval Systems
Divisions: School of Computing > Staff Research and Publications
Depositing User: Tamara Malone
Date Deposited: 31 Jan 2023 14:56
Last Modified: 31 Jan 2023 14:56
URI: https://norma.ncirl.ie/id/eprint/6147

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