Description
Code/Script Documentation | Reproducibility Support
Document and clean your research code for reproducibility and sharing — a growing requirement for computational research publications.
Service Details
| Turnaround | Standard: 4-6 business days |
| Languages | Python, R, MATLAB, STATA, SAS, Julia, and more |
| Best for | Research code you plan to share alongside a computational research publication |
Service Includes
- Code commenting and annotation
- README file creation
- Environment/dependency documentation
- Usage instructions
- Example data preparation
- Repository organization
How It Works
- Send us your research code and tell us how it is used
- We comment and annotate the code, document the environment and dependencies, and write the README and usage instructions
- You review the documentation; we revise based on your feedback
- You receive the cleaned, documented, and organized code
Which Service Do You Need?
This service covers your code. To prepare the research data itself for sharing under FAIR principles, see FAIR Data Compliance Service. For the statement journals ask for about where your data can be found, see Data Availability Statement Writing.
Frequently Asked Questions
Which languages do you support?
Python, R, MATLAB, STATA, SAS, Julia, and more.
What does the documentation include?
Code commenting and annotation, a README file, environment/dependency documentation, usage instructions, example data preparation, and repository organization.
How long does it take?
Standard turnaround is 4-6 business days.
Get started: add this service to your cart, or email co*****@*******se.com with a description of your code and the language it is written in.
