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Materials for the Dataverse train-the-trainer event

Authors: Braukmann, Ricarda; Ferguson, Kim B.;

Materials for the Dataverse train-the-trainer event

Abstract

This upload contains the materials used during the Dataverse Train-the-trainer event organised by CESSDA, DANS and supported by MK-DASS in September 2022. Information about the event After a short overview of Dataverse as a tool to archive and discover data, participants will be guided to create their own workshop to train researchers in the use of Dataverse. We will provide example materials from Dataverse user guides, as well as from the CESSDA Data Management Expert Guide that trainers can re-use to tailor their training to their specific audience. Example workshop outlines will be discussed and we will spend time on practical guidance in organising your event to effectively engage your audience. Programme 10:30-10:45 Welcome 10:45-11:15 Background on Dataverse 11:15-11:20 Break 11:20-12:00 Session 1: Example materials and outlines 12:00-13:00 Lunch Break 13:00-13:45 Session 2: Breakout session to work on your own workshop design 13:45-13:50 Break 13:50-14:35 Session 3: Planning and troubleshooting 14:35-15:00 Wrap-up

Version 2.0 contains an updated version of the Main presentation as well as a zip folder with the video recording and a transcript file.

Keywords

Repository, Dataverse, Training, Data Archiving, Workshop organisation, Data Discovery

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citations
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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