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In a year where it has been hard to pay attention to anything not critical to our day-to-day lives, you have continued to share your time, expertise, enthusiasm, and willingness to try things with us. Our staff of developers, researchers, and community builders work to create technical and social infrastructure to lower barriers to working with research data, and you, our community, continually help us push farther.
🔗Introduction Few months ago, I embarked on a full stack spatial data project at work. The project kicked off amazingly, until I was almost backed to the wall when I discovered that some of the data sources were served via a GraphQL API. Before now, I haven’t worked with GraphQL. But, I have heard a lot about it and how amazing it is for querying data.
With this blog post, I show how to use the mcbette R packagein an informal way.A more formal introduction on mcbettecan be found in the Journal of Open Source Science 1 .After introducing a concrete problem, I will show how mcbettecan be used to solve it. After discussing mcbette, I will conclude withwhy I think rOpenSci is important and how enjoyablemy experiences have been so far. 🔗The problem Imagine you are a field biologist.
At rOpenSci, we encourage R package developers to take advantage of Continuous Integration services to automatically check the package on different platforms, with different versions of R. The rOpenSci dev guide dedicates chapter 2 to the topic of Continuous Integration Best Practices , and recommends a few common CI vendors, including Travis CI. Travis CI has been a pioneer in free public CI services, and made the concept popular in the
fulltext is a package I maintain for text-mining the scholarly literature (package docs). You can search for articles, fetch article metadata and abstracts, and fetch full text of some articles. Text-mining the scholarly literature is a research tool used across disciplines. Full text of articles (entire article, not just the abstract) is the gold standard in text-mining in most cases.
Google’s amazing V8 JavaScript/WASM engine is probably one of the most sophisticated open-source software libraries available today. It is used to power the computation in Google Chrome, NodeJS, and also CloudFlare Workers, which make it possible to run code for your website inside the CDN edges. The R package V8 exposes this same engine in R, and has been on CRAN since 2014.
Emerging viruses might be on everyone’s mind right now, but as an epidemiologist and disease ecologist I’ve always been interested in how and why pathogens move from animal hosts to humans.The current pandemic of the disease we call COVID-19 is caused by Severe acute respiratory syndrome (SARS) coronavirus 2 (SARS-CoV-2), a virus that has emerged from wildlife like SARS coronavirus and Middle East respiratory syndrome (MERS) coronavirus
We are pleased to welcome Laura DeCicco, Julia Gustavsen, and Mauro Lepore to our team of Associate Editors for rOpenSci Software Peer Review.They join Brooke Anderson, Anna Krystalli, Karthik Ram, Noam Ross, Maëlle Salmon, and Melina Vidoni.Lincoln Mullen and Scott Chamberlain are now board alumni.
rOpenSci Software Peer Review’s guidance has been compiled in an online book for more than one year now. We’ve just released its fifth version.To find out what’s new in our dev guide 0.5.0, you can read the changelog,or this blog post for more digested information. 🔗A curation policy for rOpenSci packages The most exciting update to our guide is probably the addition of a chapter featuring rOpenSci package curation policy.
Background & motivation medRxiv, as the preprint repository for papers in the medical, clinical, and related health sciences, 1 has become a central source of new studies related to the COVID-19 pandemic.
