The Workflow for Open Reproducible Code in Science (WORCS) is an easy to adopt approach to ensuring a research project meets the requirements of Open Science from the start. It is based on a “good enough” philosophy, prioritizing user-friendliness over exhaustiveness. It can be used either in absence of, or in parallel to, existing requirements for Open workflows. It can also be enhanced with more elaborate solutions for specific issues.
For most users, the recommended starting point is to read the paper,
published in Data
Science,
which introduces the WORCS workflow, explains the underlying tools, and
illustrates how the worcs
package can be used to create a new project
that follows the workflow.
The workflow is illustrated below; the workflow vignette describes each step in detail.
Before installing the package, please read this
vignette, which
explains how to set up your computer for worcs
(using the CRAN
version).
If you know what you’re doing and you wish to install the development
version of the worcs
package from GitHub instead, you can use:
if(!requireNamespace("remotes")) install.packages("remotes")
remotes::install_github("cjvanlissa/worcs", dependencies = TRUE, update = "never")
You can cite WORCS using the following citation (please use the same citation for either the package, or the paper):
Van Lissa, C. J., Brandmaier, A. M., Brinkman, L., Lamprecht, A., Peikert, A., , Struiksma, M. E., & Vreede, B. (2021). WORCS: A Workflow for Open Reproducible Code in Science. Data Science. Data Science, vol. 4, no. 1, pp. 29-49. DOI: 10.3233/DS-210031.
This repository contains the following:
worcs
, with convenience functions to
facilitate the WORCS workflow../paper
, the source files for the paper
describing the WORCS workflow.The repository serves two functions: To allow users to install the
worcs
package, and to allow collaborators access to the source code
for the package and paper.
File | Description | Usage |
---|---|---|
_pkgdown.yml | YAML for package website | do not edit |
DESCRIPTION | R-package DESCRIPTION | do not edit |
LICENSE.md | Project license | do not edit |
NAMESPACE | R-package namespace | machine-written |
README.md | Read this file to get started! | do not edit |
README.Rmd | R-markdown source for readme.md | human editable |
worcs.Rproj | RStudio project file | do not edit |
docs/ | Package website | machine-written |
inst/ | RStudio project template files | human editable |
man/ | R-package documentation | do not edit |
paper/ | WORCS paper source files | human editable |
R/ | R-package source code | human editable |
vignettes/ | R-package vignettes | human editable |
We are always eager to receive user feedback and contributions to help us improve both the workflow and the software. Major contributions warrant coauthorship to the package. Please contact the lead author at c.j.vanlissa@tilburguniversity.nl, or:
By participating in this project, you agree to abide by the Contributor
Code of Conduct v2.0.
Contributions to the package must adhere to the tidyverse style
guide. When contributing code, please add
tests for that contribution to the tests/testthat
folder, and ensure
that these tests pass in the GitHub Actions
panel.
The worcs logo is inspired by the Open Science Badges by the Center for Open Science (CC-BY-4.0), and makes use of the gear, services, gears, preferences, settings icon, made by MD Badsha Meah from www.freeicons.io (CC-BY-3.0).