rOpenSci HQ

We’re more than thrilled to announce our new research software engineer Maëlle Salmon. Read the blog post for more and an interview with her.



Our next rOpenSci community call is coming up tomorrow (!), on January 31st. Find all the details for the upcoming and all past and future calls at http://communitycalls.ropensci.org/.


Nick Golding, rOpenSci Fellow, on enabling reproducible research in ecology with zoon and simple & scalable statistical modelling with greta



Software 📦

Releases

Archived

  • Reol has been archived on CRAN. It may return in the future.



Software Review ✔

We accept community contributed packages via our onboarding system - an open software review system, sorta like scholarly paper review, but way better. We’ll highlight newly onboarded packages here. A huge thanks to our reviewers, who do a lot of work reviewing (see the blog post on our review system), and the authors of the packages!

If you want to be a reviewer fill out this short form, and we’ll ping you when there’s a submission that fits in your area of expertise.

The following three packages were recently submitted for review:



On the blog

main blog

A post went up today Introducing Maëlle Salmon, rOpenSci’s new Research Software Engineer.


technotes

We’ve had two posts by Scott Chamberlain on our technotes blog in the past two weeks:

fulltext v1: text-mining scholarly works - the post discusses this v1 release of the fulltext package for text-mining scholarly works (mostly journal articles). Give the package a try and let us know what you think.

nodbi: the NoSQL Database Connector - the post discusses a package we started a few years back at an rOpenSci Unconference, but has been mostly ignored since then. We’re hoping to revive it - try it out!



Use cases

If you’ve used rOpenSci software in a blog post or a paper, tell us on the discussion forum and we’ll share it with our community here.

The following four works use/cite rOpenSci or rOpenSci software:



In the news

We recently became aware of an R package fisheryO for working with ICES Fisheries Overviews data. See related post. In this package they leverage the rOpenSci package rnaturalearth, maintained by Andy South.


There was a recent use of the rOpenSci package USAboundaries (maintained by Lincoln Mullen) on the blog Genes & History: Where did my ancestors live?.


Malcolm Barrett used rOpenSci’s gutenbergr package in his post Stochastic Shakespeare: Sonnets Produced by Markov Chains in R


Our newest staff member Maëlle Salmon blogged about Galentine’s day cards and used our charlatan package to generate colors for the cards and our magick package to arrange the cards.


Luke Smith used rOpenSci’s magick package to map crime in Houston:


LifeWatch INBO tweeted about demoing our rgbif package to their community:


Jonathan Gilligan used our rnoaa package to visualize the number of days temperature (Fahrenheit) dropped below zero in Nashville, TN (USA) since 1955. And he shared the code on GitHub.






Submit news to rOpenSci

Reach out to us with your news suggestions by sending us an email info@ropensci.org or by contacting us on Twitter @ropensci


Keep up with rOpenSci


Footnotes

  1. Selvi, S., & Chandrasekaran, M. (2018). Performance evaluation of mathematical predictive modeling for air quality forecasting. Cluster Computing. https://doi.org/10.1007/s10586-017-1667-9 

  2. Serra-Diaz, J. M., Enquist, B. J., Maitner, B., Merow, C., & Svenning, J.-C. (2017). Big data of tree species distributions: how big and how good? Forest Ecosystems, 4(1). https://doi.org/10.1186/s40663-017-0120-0 

  3. Sinval, J., Marques-Pinto, A., Queirós, C., & Marôco, J. (2018). Work Engagement among Rescue Workers: Psychometric Properties of the Portuguese UWES. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.02229 

  4. Gay, Amy; Broadway, Meredith; Carrano, Joe; Kostelic, Charlotte; and Potterbusch, Megan, “Blending Collaborations and Bridging Gaps: Digital Preservation Communities of Practice - ND SR Lightning Talks” (2017). Library Scholarship. 37. https://orb.binghamton.edu/librarian_fac/37