2 Months in 2 Minutes – rOpenSci News, August 2019

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

• Aggregating spatial data with the grainchanger package – Laura Jane Graham

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

YouTube link: https://t.co/fI5B6PLDco
Code: https://t.co/hSnYiBrUh8
Thread ???? pic.twitter.com/Ezsh9jUJul

— Dan Quintana (@dsquintana) July 23, 2019

Have you used an rOpenSci package? Share your use case and we’ll tweet about it.

Keep up with rOpenSci

We create a newsletter every two weeks. You can subscribe via rss feed in XML or JSON or via our one-way mailing list.

Follow @rOpenSci on Twitter.
Find out how you can contribute to rOpenSci as a user or developer.