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 pacakages 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!

The following are rOpenSci packages that have recently gone through our onboarding process:

Use cases

Four recent papers cite and/or use rOpenSci software (or reference rOpenSci):

Keep up with rOpenSci news

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


  1. Olson, S. H., Benedum, C. M., Mekaru, S. R., Preston, N. D., Mazet, J. A. K., Joly, D. O., & Brownstein, J. S. (2015). Drivers of Emerging Infectious Disease Events as a Framework for Digital Detection. Emerging Infectious Diseases, 21(8), 1285–1292. 

  2. Kamvar, Z. N., López-Uribe, M. M., Coughlan, S., Grünwald, N. J., Lapp, H., & Manel, S. (2016). Developing educational resources for population genetics in R: an open and collaborative approach. Mol Ecol Resour. 

  3. Niedballa, J., Sollmann, R., Courtiol, A., & Wilting, A. (2016). camtrapR: an R package for efficient camera trap data management. Methods in Ecology and Evolution. 

  4. Wiser, S. K. (2016). Achievements and challenges in the integration, reuse and synthesis of vegetation plot data. Journal of Vegetation Science.