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FAIR Data and Software: A Carpentries-based workshop at TIB, Hannover

Authors: Leinweber, Katrin; Kraft, Angelina; Kuzak, Mateusz; Johnston, Luke; Hammitzsch, Martin; Förstner, Konrad;

FAIR Data and Software: A Carpentries-based workshop at TIB, Hannover

Abstract

This workshop aimed to train junior scientists in implementing the FAIR principles for research data & software management & development. We want to help you identify similarities and differences between these two scientific objects and apply respectively appropriate good practices in preparing, publishing and archiving your work. It was a new, experimental workshop format that contextualises the highly practical lesson material from the Software and Data Carpentries with the FAIR principles. Find more details on TIBHannover.GitHub.io/2018-07-09-FAIR-Data-and-Software.

Editable versions of the slides are available on https://drive.google.com/drive/folders/1JO-0SjKw52ICbNSHZuqdXjdIZIrh3Alp.

Keywords

FAIR Data, GitHub, R, FAIR Software, Git, Carpentries, Python

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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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