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Sharing best practices in open science training: from online to hybrid and beyond

Authors: Clare, Helen; Kuchma, Iryna; Simango, Samuel; Bengtsson, Luiza; Leenarts, Ellen;

Sharing best practices in open science training: from online to hybrid and beyond

Abstract

Since the pandemic began, open science trainers have had to move training online. For some, this wasn’t new but for many, learning how to run training online became essential. New skills had to be learned quickly and over the last 18 months many different techniques and tools have been tried out. In this workshop session we aim to reflect on the last 18 months and what has been learned by various members of the open science training community. We will ask what worked, what didn’t and what the future of open science training looks like as we move into hybrid face-to-face and online approaches. We will also discuss what going online has meant for open science - has training online brought particular challenges or benefits for open science? This session is global in scope but will highlight experiences mainly from Europe. The workshop will be highly interactive in order to allow participants to share their own experiences and to ask questions. There will be a mix of short presentations, interactive polling and breakout groups. The workshop will be coordinated and delivered by members of the OpenAIRE Training Community of Practice of Training Coordinators, including contributions from EOSC Synergy, OpenAIRE, SSHOC, ELIXIR, LIBER, the FORCE11 REPO project, and more. The outputs will be written up in an open report.

Keywords

Open Science, Skills, Training, Online training, Hybrid training, Best Practice

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selected citations
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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).
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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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