rOpenSci HQ

Community Calls

We’ll have our next community call on September 13th, on rOpenSci Software Review and Onboarding.

Save the date! https://github.com/ropensci/commcalls/issues/15

We hope past authors and reviewers will attend, as well as people considering volunteering to review rOpenSci packages or people considering submitting their package for review.



Discussion forum

Recently, on our discussion forum https://discuss.ropensci.org:



rOpenSci in the News



Software

New packages

Releases



Onboarding

We accept community contributed packages via our onboarding system - a software review system, sorta like scholarly paper review, but way better. We’ll highlight new packages here that have come through this system. 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 we have a new form you can fill out, and we’ll ping you when there’s a submission that fits in your area of expertise.

The following packages were recently submitted to our onboarding process:

We had the following two pre-submission inquiries in the past two weeks:

The following two packages recently went through our onboarding process and have been approved!



On the blog

Stefanie Butland, our community manager, wrote a post on where the rOpenSci team will be at various events over the next 5 months: Chat with the rOpenSci team at upcoming meetings.

We have two blog posts wrapping up our series of posts from #runconf17:



Use Cases

The following 5 works use/cite rOpenSci or rOpenSci software:






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 news

There are a number of ways to keep up with what rOpenSci is doing:



Footnotes

  1. Williams, G. J. (2017). The Essentials of Data Science: Knowledge Discovery Using R. CRC Press. Chicago https://www.crcpress.com/The-Essentials-of-Data-Science-Knowledge-Discovery-Using-R/Williams/p/book/9781498740005 

  2. Bartomeus, I., Cariveau, D. P., Harrison, T., & Winfree, R. (2017). On the inconsistency of pollinator species traits for predicting either response to land-use change or functional contribution. Oikos. https://doi.org/10.1111/oik.04507 

  3. Swani, L., & Tyagi, P. (2017). Dockerization (Replacement of VMs). International Research Journal of Engineering and Technology. https://www.irjet.net/archives/V4/i7/IRJET-V4I7650.pdf 

  4. Bosch, S. (2017). Marine Species Distributions: From data to predictive models (Doctoral dissertation, Ghent University). http://www.vliz.be/imisdocs/publications/303185.pdf 

  5. Senderov, V., Georgiev, T., Agosti, D., Catapano, T., Sautter, G., Ó Tuama, É., … Penev, L. (2017). OpenBiodiv: an Implementaion of a Semantic System Running on top of the Biodiversity Knowledge Graph. Proceedings of TDWG, 1, e20084. https://doi.org/10.3897/tdwgproceedings.1.20084