# Welcome to our ReproHack! <!-- Put the link to this slide here so people can follow --> ### Event Repository: bit.ly/CCMcr19-ReproHack Contains all event information and links to materials --- # Introductions --- <!-- Add details about yourself the organiser here: --> ## Who am I? ### Dr Anna Krystalli (@annakrystalli) - Research Software Engineer _University of Sheffield_ - Software Peer Review Editor _rOpenSci_ - Co-organiser _Sheffield R Users Group_ --- ## Why am I here? I believe there's lots to learn about Reproducibility from working with real published projects. --- ## Who is my favorite animated character? Stitch!  --- <!-- Open it up to participants --> ## Who are you? ## Why are you here? ## Who is your favorite animated character? --- # Plan of Action --- ### Reproduce paper / Hack the ReproHack 1. **Project review and team formation** 2. **Select and register your project** 3. **Work on your project!** 4. **Re-group part-way through.** 6. Feedback at the end (group & authors) --- ## Your Work Might be Publishable! --- ### [ReScience C](http://rescience.github.io/) > **ReScience C** is an open-access peer-reviewed journal that targets computational research and encourages the **explicit replication** of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. --- ### What is **Replication:** - Repeating a published protocol - Respecting its spirit and intentions - **Varying the technical details**, e.g. using different software, initial conditions, etc. *** #### Change something that everyone believes shouldn’t matter, and see if the scientific conclusions are affected --- ### Replicate your paper - Finished early? Consider attempting **replication**! - Replications could be considered for publication in **ReScience C** Journal --- #### But! ReScience got in touch and **considering creating a new category!** - **Reproducibility Report**: + were results reproduced? + how hard/easy was it to reproduce? + did architectures differ etc. + what else? _discussion topic_ --- ### Then https://scigen.report got in touch:  ---  --- # Feed back # :speech_balloon: --- ### Feed back - **Regroup part way through** to discuss progress and troubleshoot any sticking points - **Feedback to authors** using form by end of session - **Feedback to group** at the end, contribute to discussions --- ## Code of Conduct Event governed by [**Carpentries Code of Conduct**](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html) <br> ### Additional Considerations - #### Reproducibility is hard! - #### Submitting authors are incredibly brave! --- ## Thank you Authors! :raised_hands: - #### Without them there would be no ReproHack. - #### Show gratitude and appreciation for their effort and bravery. :pray: - #### Constructive criticism only please! --- # Let's go! :checkered_flag: --- ### Paper / hack topic review #### **papers**: bit.ly/CCMcr19-ReproHack-papers #### **topics**: bit.ly/CCMcr19-ReproHack-topics --- ### Team formation / project registration + Fine to work individually + Register your team and paper / topic by [**opening a new issue**](https://github.com/reprohack/reprohack-2019-06-27/issues/new/choose). bit.ly/CCMcr19-ReproHack + Add your details to the [**hackpad**](https://hackmd.io/@U2KSpBasRLqM0fN-YALVrw/r1LTia9RV/edit). --- ### Mid-point regroup - Briefly describe the approach to reproducibility the paper has taken. - Anything in particular you like about the paper's approach? - Anything you're having difficulty with? --- ### Feedback to authors - Please complete the feedback form for authors bit.ly/CCMcr19-ReproHack-feedback - Feel free to take notes on the hackpad --- ### Final regroup - So, how did you get on? - Final comments. - If there's time, tackle some discussion topics (see hackpad). - One thing you liked, one thing that can be improved (use post it's if you prefer) --- ### Further Resources - [**The Turing Way**](https://the-turing-way.netlify.com/introduction/introduction): a lightly opinionated guide to reproducible data science. - [**Packaging data analytical work reproducibly using R (and friends)**](https://peerj.com/preprints/3192/): how researchers can improve the reproducibility of their work using research compendia based on R packages and related tools --- # THANK YOU ALL! :pray: - ### Thank you PARTICIPANTS for coming! - ### Thank you AUTHORS for submitting! # :wave: