Intermediate Reproducible Research in R
An intermediate workshop on modern approaches and workflows to processing data
🚧 We are doing major changes to this workshop, so much of the content will be changed. 🚧
Welcome!
Reproducibility and open scientific practices are increasingly demanded of, and needed by, scientists and researchers in our modern research environments. As our tools for generating data become more sophisticated and powerful, we also need to use more sophisticated and powerful tools for processing the data. Training on how to use these tools and how to build modern data processing skills is lacking for researchers, even though this work is extremely time-consuming and technical. As a consequence of this lack of awareness for the need of these skills, how exactly data is processed is poorly, if at all, described in scientific studies. This hidden aspect of research could have major impacts on the reproducibility of studies. This workshop is therefore aimed to specifically to start addressing these types of problems.
The workshop is designed as a series of participatory live-coding lessons, where the instructor and learners code together, and is interspersed with hands-on exercises, discussion time, reading tasks, and group project work, all while using a real-world (open) dataset. This website contains all of the material for the workshop, including for both the learner and the instructor. It is structured as a book, with “chapters” as sessions, given in order of appearance. We make heavy use of the website throughout the workshop where code-along sessions follow the material on the website nearly exactly (with slight modifications for time or more detailed explanations).
The workshop material was created using Quarto to write the material and create the book format, GitHub to host the Git repository of the material, and GitHub Actions with Netlify to build and host the website. The original source material for this workshop is found on the r-cubed-intermediate GitHub repository.
Want to contribute to this workshop? Check out the README file as well as the CONTRIBUTING file on the GitHub repository for more details. The main way to contribute is by using GitHub and creating a new issue to make comments and give feedback for the material.
Target audiences
This website and its content are targeted to three groups:
- For the learners to use during the workshop, both to follow along in case they get lost and also to use as a reference after the workshop ends. See 1.1 Is this workshop for you? for a more detailed description of who the learner is.
- For the instructors to use as a guide for when they do the code-along sessions and presentations.
- For those who are interested in teaching, who may not have much experience or may not know where to start, to use this website as a guide to running and instructing their own workshops.
Re-use and licensing
The workshop is licensed under the Creative Commons Attribution 4.0 International License so the material can be used, re-used, and modified, as long as there is attribution to this source.
Acknowledgements
The workshop material draws inspiration from these excellent resources:
- R for Data Science
- Advanced R
- R Packages
- UofTCoders Reproducible Quantitative Methods for EEB
- Software and Data Carpentry workshop material
The Danish Diabetes and Endocrinology Academy hosted, organized, and sponsored this workshop many times. A huge thanks to them for their involvement, support, and sponsorship! Steno Diabetes Center Aarhus and Aarhus University employs Luke, who is the lead instructor and educational resource developer.
