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Conference object . 2026
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2026
License: CC BY
Data sources: Datacite
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FAIR Research Data Management Training Materials Ready for Reuse

Innovative, Co-created, and Multilingual
Authors: Thorpe, Deborah Ellen; van den Berk, Michelle; van Horik, René; Brinkman, Loek; Macan, Bojan; Žugaj, Martina; Jurković, Sanja;

FAIR Research Data Management Training Materials Ready for Reuse

Abstract

The PATTERN (Empowering Open and Responsible Research and Innovation) project addresses a critical need in the European Research Area, by equipping researchers at all stages of their careers with skills in Responsible Research and Innovation (RRI) and Open Science (OS). Since January 2023, the project has been developing and piloting training modules in 8 thematic areas: Open Access, FAIR RDM, Citizen Science, Research Integrity, Gender Equality and Non-Discrimination, Science Communication, Dissemination and Exploitation of Results, and Research Management and Leadership. This poster describes how training resources have been co-created in the thematic area of FAIR Research Data Management (RDM), focusing on a collaboration between thematic leaders DANS in the Netherlands and partners at the Ruđer Bošković Institute in Croatia. The poster was first presented at the International Digital Curation Conference Conference in February 2026 (IDCC 2026): https://www.dcc.ac.uk/events/idcc26. The poster explains: How the project partners co-created and continually improved innovative training in FAIR RDM The core FAIR RDM training portfolio, incorporating Project Based Learning (PBL) How the training materials can be accessed, both as slide decks within Zenodo and as interactive E-Learning modules in OpenPlato This poster was an output of the PATTERN project (Grant Agreement No 101094416).

Keywords

FAIR Data, Open Science, Effective training for delivering curation knowledge and skills, Research Data Management, Training, eLearning, Project Based Learning, Innovations in training content and delivery, Research Data

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
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