Welcome!

Open Science is becoming increasingly popular and relevant, and a world of opportunity is opening up to make your work fully reproducible. This is not without its challenges: best practices for reproducible science include a number of tools that you may never have used or even heard of before: Are you using version control? How are you managing your dependencies? Are you writing your manuscript as an executable document?

For those who would like to get started with an open and reproducible workflow, without dealing with a mountain of new tools and platforms, we introduce WORCS, a Workflow for Open Reproducible Code in Science. The workflow is written for R, but you do not need to have prior programming experience to join this workshop. Having the motivation to step out of your comfort zone — and into a new one — is the most important prerequisite.

WORCS is an R package that takes you from data to published paper in a single streamlined workflow, making the entire process of your analysis, up to the submission of your manuscript, reproducible. The WORCS workflow optionally facilitates pre-registration, sharing your code and your data (safely!), and the submission of a pre-print.

This workshop will give you an overview of the workflow and introduce you to its use. You will create your first reproducible project by going through all steps of the workflow yourself.

Acknowledgements

This workshop was developed by Research Data Management Support at Utrecht University, in collaboration with Caspar van Lissa. The workshop repository and documentation was set up by Neha Moopen and Bianca Kramer, based on an earlier workshop by Barbara Vreede.

Image attribution
The Git Logo by Jason Long is licensed under the Creative Commons Attribution 3.0 Unported License. The OSF logo is licensed under CC0 1.0 Universal. Icons in the workflow graph are obtained from Flaticon; see detailed attribution.