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Presentation . 2021
License: CC BY
Data sources: Datacite
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Workshop: SSHOC Open Science and Research Data Management Train-the-Trainer Bootcamp

Authors: Tatsiana Yankelevich; Linas Cepinskas; Joy Davidson; Ricarda Braukmann; Iryna Kuchma; Ellen Leenarts; Anca Vlad; +2 Authors

Workshop: SSHOC Open Science and Research Data Management Train-the-Trainer Bootcamp

Abstract

These are the slides from the IASSIST 2021 SSHOC Open Science and Research Data Management Train-the-Trainer Bootcamp. Session description: This bootcamp aimed to aid trainers in finding resources and tools they can re-use in their training activities. The bootcamp consisted of two two-hour sessions, held on two separate days with time in between for participants to work on assignments. Participants will: receive a demonstration of existing tools that aid Research Data Management and could be used as hands-on-exercises in training activities. get tips for training development in a didactics session, including the use of more interactive elements, preparations, evaluations and the development of learning objectives. be encouraged to assess the usefulness of the tools presented for their own target audience, and consider how they could structure their own training activities. focus on training development during an interactive session. discuss how the presented materials and tools can be used in the context of an RDM training. examine different training methods, exchange experiences, and discuss how to make training interactive and prepare hands-on-exercises. learn about and receive an update on the SSH Training Toolkit. Throughout SSHOC, existing and newly developed training materials have been collected in the Toolkit; this short presentation highlighted key training materials that are already available (e.g. materials on for instance GDPR, sensitive data, FAIR and open data).

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Keywords

training, open science, data management, FAIR

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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.
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influence
This indicator 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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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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