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Presentation . 2020
License: CC BY SA
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Presentation . 2020
License: CC BY SA
Data sources: Datacite
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Jupyter in the Wikimedia ecosystem

Authors: Mietchen, Daniel;

Jupyter in the Wikimedia ecosystem

Abstract

About This repo hosts materials related to the JupyterCon 2020 talk "Jupyter in the Wikimedia ecosystem", which is part of the "Jupyter in Education" track: The Jupyter notebook through which the presentation was given An HTML version of the notebook A pre-recording of the presentation based on the notebook. An executable copy of the notebook is available via https://mybinder.org/v2/zenodo/10.5281/zenodo.4031806/. A static copy of the notebook is available via https://public.paws.wmcloud.org/User:Daniel_Mietchen/JupyterCon-2020/JupyterCon%202020%20talk.ipynb . Copies of the video are available via https://www.youtube.com/watch?v=hH86K0LEDc8 as well as on the JupyterCon channel via https://www.youtube.com/watch?v=sxCyAwz21Ss . Abstract This presentation is intended to (i) make the Jupyter community more familiar with current and potential usages of Jupyter in Wikimedia contexts, (ii) explore how Jupyter resources can become more findable and accessible by leveraging the reach of Wikimedia projects. It will be given based on https://github.com/Daniel-Mietchen/events/blob/master/JupyterCon-2020.md and does not assume any background knowledge other than a basic familiarity with Jupyter. After a brief introduction to Wikimedia projects - which include Wikipedia, Wikimedia Commons and Wikidata and similar collaborative sites - we will explore existing usage examples of Jupyter in Wikimedia contexts. Based on the assumption that the two communities are mission-aligned and would benefit from closer interaction, we will then consider potential usage examples based on overlaps in mission and activity of the Jupyter and Wikimedia communities. In closing, developers and maintainers of Jupyter-based educational materials or Jupyter-related functionality shall be stimulated to consider whether and how such materials or functionality might fit into the Wikimedia ecosystem, or, conversely, how they can leverage Wikimedia resources for educational and related purposes. Image/ media credits are summarized in https://commons.wikimedia.org/wiki/File:Screenshot_of_the_Wikimedia_Commons_category_containing_the_files_of_the_JupyterCon_2020_talk_Jupyter_in_the_Wikimedia_ecosystem.png . Details will be added here later.

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Keywords

Wikidata, Wikimedia, Jupyter, SPARQL, Python

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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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OpenAIRE UsageCountsViews provided by UsageCounts
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