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ACME Checklists for FAIR-enabling Capabilities

Authors: White, Angus;

ACME Checklists for FAIR-enabling Capabilities

Abstract

Diverse initiatives are being developed and implemented by universities across Europe to foster the uptake of the research data management (RDM) and FAIR data skills necessary to bring forward the transition to Open Science. Lessons can be learned from bringing together their experience in different legal, organisational and cultural contexts, providing inspiration and points for reflection for other universities transitioning to Open Science. The workshop will discuss with participants the analysis of good practices of universities across Europe that are being gathered by the FAIRsFAIR project. Preliminary results from this ongoing study will be presented, highlighting the drivers, impact and implementation steps behind the initiatives taken by institutions to integrate RDM and FAIR data skills in university curricula. The shift towards hybrid models of teaching data-related skills is also addressed in the analysis, showing how the COVID-19 pandemic created not only challenges but also surprising opportunities for the implementation of Open Science practices in universities. Findings will include information on legal, organisational and cultural differences between regional and national systems in Europe, which will allow to contextualise university initiatives. Comments and feedback from participants beyond Europe will be welcomed and will further improve the cross-border exchange of good practices. The workshop will be of interest to RDM and FAIR teachers, trainers and practitioners, as well as European and national policy makers. Participants will be invited to reflect on their own institutional experiences in an engaging and interactive way, through breakout rooms and a digital workspace set in Mural. This presentation is about supporting the implementation of FAIR data skills in university teaching

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Keywords

FAIR data, Open Science, Skills training, Impact, Universities, Sustainability

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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!
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