Community Call - Reproducible Research with R

Author: Stefanie Butland

Our next Community Call, on July 30, 2019 will include three speakers and 20 minutes for Q & A.

Ben Marwick will introduce you to a research compendium, which accompanies, enhances, or is a scientific publication providing data, code, and documentation for reproducing a scientific workflow.

From Karthik Ram you will learn about holepunch, an R package that will take any GitHub repo with R scripts and R markdown files and quickly turn it in into a free, live RStudio server where anyone can run your code!

Anna Krystalli will talk about the ReproHack series of one day reproducibility hackathons where participants try to reproduce papers from published code and data. Find out more about what goes on during the events, some early findings, future directions and how you can get involved!

Read the post for speaker bios and and how to join the Call. Everyone welcome. No RSVP required.

Have a question for a speaker? Reply in this thread.


This sounds very interesting, how do we join the call? there doesn’t seem to be a sign-up sheet. Thanks

Hello @NoushinN. Anyone is welcome to join the call. No RSVP or sign-up necessary.

I have just added the information to join the call via Zoom. On this page, rOpenSci | Community Calls click on " :phone: Join the call via Zoom (link only active during scheduled time)".

This page has some additional resources listed: rOpenSci | Reproducible Research with R · Community Call and is where the video of the call will be posted.

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I have a question for Anna:

We have been doing a class for an entire semester where we aimed at reproducing papers. For some groups even a semester seemed quite little time for this task.

How do you manage doing it in less than a day? What are the things one needs to prepare?

Thanks for having a call on this topic. I am very excited to tune in! :star_struck:


Hey @HeidiSeibold!

Excellent question. At a ReproHack we try to reproduce papers from published data AND code which, with most papers we’ve attempted so far, is very doable. In fact, as reproducibility improves, it may well become quite trivial which is why we’re exploring options for more formal outputs for a reprohack, like producing a publishable “Reproducibility Report” for ReScience C.

But your course sounds awesome and definitely has a lot to offer students. In fact, ReproHacks were originally inspired by something similar, Owen Petchey’s course in Reproducible Research in Ecology, Evolution, Behaviour, and Environmental Studies, where students attempt to recreate the analysis in papers from the raw data. We just condensed the activity into a day by focusing on papers that also had code published. :slight_smile:

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Cool, thanks for the infos!

Having the code surely helps a ton :slight_smile:

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Resources from this Community Call “Reproducible Research with R” are now posted at rOpenSci | Reproducible Research with R · Community Call

:movie_camera: video
:woman_technologist:t2::man_technologist:t4:speakers’ slides
:memo:collaborative notes from Q & A (heaps of good info)