wikiproject_lakes-workshop
Materials for lake-centric wikipedia workshop
Science Score: 41.0%
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
○Academic publication links
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1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Keywords
Repository
Materials for lake-centric wikipedia workshop
Basic Info
- Host: GitHub
- Owner: jsta
- License: other
- Language: R
- Default Branch: master
- Homepage: https://jsta.github.io/wikiproject_lakes-workshop
- Size: 1.84 MB
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- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files
README.md
layout: page title: Overview
root: .
Description
People are increasingly looking towards the internet for information about specific natural areas such as lakes. However, basic information about these areas is often only available to non-professional scientists via scattered state-based web portals. One of the few general public-facing sources of this information that includes lake locations, types, and other characteristics is Wikipedia. However, because only a small fraction of lakes in the world have a dedicated page on Wikipedia, people are not able to easily find basic information about their local lake or lakes they might like to visit. During this workshop, Participants will learn about the underlying structure of Wikipedia pages, recommended practices, and reasonable workflows for editing existing lake pages as well as creating new ones. Workshop materials will be archived at https://doi.org/10.6084/m9.figshare.6157226.
URL
Owner
- Name: Jemma Stachelek
- Login: jsta
- Kind: user
- Location: New Mexico, USA
- Company: Los Alamos National Laboratory
- Website: http://jsta.rbind.io
- Repositories: 366
- Profile: https://github.com/jsta
Citation (CITATION)
Stachelek, J. 2018. Wikiproject Lakes Workshop. https://github.com/jsta/wikiproject_lakes-workshop
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Dependencies
- checkpoint * imports
- knitr * imports
- rmarkdown * imports
- stringr * imports