2 Months in 2 Minutes – rOpenSci News, August 2019
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rOpenSci HQ
- rOpenSci received a $678K award from the Sloan Foundation to expand Software Peer Review.
- We are hiring for a new position in statistical software testing and peer review.
- Join our next Community Call on Reproducible Workflows at Scale with drake September 24th.
- Videos, speakers’ slides, resources and collaborative notes from our Community Calls on Involving Multilingual Communities and Reproducible Research with R are posted.
Software Peer Review
5 community-contributed packages passed software peer review.
gitignore – Create useful .gitignore files for your project. Author: Philippe Massicotte; Reviewers: Amanda Dobbyn, Mauro Lepore; Review
grainchanger – Moving-Window and Direct Data Aggregation. Author: Laura Jane Graham; Reviewers: Max Joseph, John Baumgartner; Review
popler – Browse and query the popler database. Author: Aldo Compagnoni; Reviewers: Corinna Gries, Ben Bond-Lamberty; Review
tidypmc – Parse full text XML documents from PMC. Author: Chris Stubben; Reviewers: Julia Silge, Toph Allen; Review
UCSCXenaTools – Download and Explore Datasets from UCSC Xena Data Hubs. Author: Shixiang Wang; Reviewers: Christine Stawitz, Carl Ganz; Review
Consider submitting your package or volunteering to review.
Software
3 new packages from the community are on CRAN.
- git2rdata – store and retrieve data.frames in a Git repository
- tidypmc – parse full text XML documents from PubMed Central
- UCSCXenaTools – download and explore datasets from UCSC Xena data hubs
On the Blog
From the rOpenSci team
- Taking over maintenance of a software package
- rOpenSci Contributors at useR!2019
- 2 Months in 2 Minutes – rOpenSci News, June 2019
From the community
Use Cases
- 51 published works cited or used rOpenSci software (listed in individual newsletters)
- 6 use cases for our packages or resources were posted in our discussion forum
Example: Dan Quintana gave a short video demonstration of using europepmc, a package maintained by Najko Jahn
Ever wanted to visualize the popularity of a research topic over time? Here's how, using the 'europepmc' #Rstats package
— Dan Quintana (@dsquintana) July 23, 2019
YouTube link: https://t.co/fI5B6PLDco
Code: https://t.co/hSnYiBrUh8
Thread ???? pic.twitter.com/Ezsh9jUJul
Have you used an rOpenSci package? Share your use case and we’ll tweet about it.
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