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Scholarly metadata in R

Scholarly metadata - the meta-information surrounding articles - can be super useful. Although metadata does not contain the full content of articles, it contains a lot of useful information, including title, authors, abstract, URL to the article, etc. One of the largest sources of metadata is provided via the Open Archives Initiative Protocol for Metadata Harvesting or OAI-PMH. Many publishers, provide their metadata through their own endpoint, and implement the standard OAI-PMH methods: GetRecord, Identify, ListIdentifiers, ListMetadataFormats, ListRecords, and ListSets....

The 2013 rOpenSci challenge

At rOpenSci we’re very passionate about engaging with our community and getting more people on board with open science and open data. There are many challenges to be overcome before this practice becomes mainstream. Even when researchers see the value in engaging more openly, the learning curve associated with various aspects of the workflow can seem daunting. To identify some of these challenges and barriers, we launched an open science challenge at the start of the year....

Visualizing rOpenSci collaboration

We have been writing code for R packages for a couple years, so it is time to take a look back at the data. What data you ask? The commits data from GitHub ~ data that records who did what and when. Using the Github commits API we can gather data on who commited code to a Github repository, and when they did it. Then we can visualize this hitorical record....

is.invasive()

The following was a guest post from Ignasi Bartomeus, originally posted on his blog on 26 Nov, 2012. Check out a related blog post here. Note the functionality discussed in this post is now in our taxize package under the function gisd_isinvasive. We hacked out a quick Shiny app so you can play around with the below function in taxize on the web to get invasive status and plot it on a phylogeny....

Working together to push science forward

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