WORCS
WORCS provides a reproducible workflow for implementing open science practices to increase transparency and reproducibility of research by organizing academic prose, analysis code, and tabular data.
Key Features:
- worcs R package: Implements the WORCS workflow as an R package named
worcsthat operationalizes the workflow. - Project template: Supplies a project template to structure academic prose, analysis code, and tabular data within a research project.
- Utility functions: Includes utility functions to assist in executing specific steps of the workflow.
- RStudio integration: Targets use within the RStudio environment to apply the package, template, and functions.
Scientific Applications:
- Adoption of open science practices: Facilitates implementing open science and reproducible-research principles in projects.
- R-based data analysis reproducibility: Supports organization and reproducibility of analyses conducted using R.
- Structuring research components: Organizes academic prose, analysis code, and tabular data for reproducible research outputs.
Methodology:
Implemented as an R package ('worcs') that provides a project template and utility functions for use within RStudio to structure academic prose, analysis code, and tabular data and to execute workflow steps.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- workflow
- Programming Languages:
- R
- Added:
- 1/3/2022
- Last Updated:
- 1/3/2022
Operations
Publications
Van Lissa CJ, Brandmaier AM, Brinkman L, Lamprecht A, Peikert A, Struiksma ME, Vreede BM. WORCS: A workflow for open reproducible code in science. Data Science. 2021;4(1):29-49. doi:10.3233/ds-210031.
DOI: 10.3233/DS-210031
Links
Issue tracker
https://github.com/cjvanlissa/worcs/issues