Oct 23, 2026, 1:37 PM💡 If you looked at the last data analysis you conducted: Would you be able to retrace every step of your data processing to come back to the same results?
👥 We are excited to share that OSC members @susanneadler , @drfollowmario , Frauke Kreuter, Marko Sarstedt, @nicebread & @stfeuerriegel co-authored an article which was recently published in @Nature Human Behaviour, highlighting how computational reproducibility is crucial for the credibility of science. Computational reproductions can discover errors early on and prevent further spreading of computational errors into other papers and theoretical consensus. This secures the quality and efficiency of research and promotes trust in the scientific process and community.
❔ What can we do?
In the article, the authors list a number of recommendations for reproducible workflows, such as making data, code and documentation accessible and readable using the following method in research routines.
S -Script the full analysis
E - Encapsulate the environment
E - Explain code + data
D - Deposit materials persistently
Find out more here: https://www.nature.com/articles/s41562-026-02570-w
