Reproducibility

Allow other people to build up on your work…

For the findings of a study to be reproducible means that results obtained (…) in a statistical analysis of a data set should be achieved again with a high degree of reliability when the study is replicated.
https://en.wikipedia.org/wiki/Reproducibility

(Marwick et al. 2017; Marwick et al. 2018; https://faculty.washington.edu/bmarwick/)

In your article/thesis/project do:

Deposit the data in a repository. Zenodo, Figshare etc.
see https://www.re3data.org/
Include the data and code under an open and permissive license.
https://creativecommons.org/
https://choosealicense.com/
Include the code for the analysis.
Document your analysis in an Rmarkdown document or in individual scripts.
Document what you are doing and what things mean, create rich metadata.
Use version control systems (git).
https://github.com/git-guides

https://doi.org/10.5281/zenodo.3332807

Guides

Kieran Healy

The Plain Person’s Guide to Plain Text Social Science
http://plain-text.co/

Ben Marwick

Marwick, B. 2017: Computational Reproducibility in Archaeological Research: Basic Principles and a Case Study of Their Implementation. Journal of Archaeological Method and Theory 24(2): 424–450. DOI: 10.1007/s10816-015-9272-9.
Marwick, B., Boettiger, C. and Mullen, L. 2018: Packaging Data Analytical Work Reproducibly Using R (and Friends). The American Statistician 72(1): 80–88. DOI: 10.1080/00031305.2017.1375986.

British Ecological Society

Guides to better science: guide on reproducible code and data management.