👉 Reproducible computing is an approach that emphasizes the ability to reproduce computational results and workflows with precision and transparency. It involves creating software and computational processes that can be easily shared, tested, and verified by others, ensuring that the same output can be consistently achieved under identical conditions. This is achieved through practices like version control, detailed documentation, and the use of containerization technologies such as Docker to encapsulate all dependencies. By making computational processes reproducible, researchers and developers can validate findings, collaborate more effectively, and build upon existing work with confidence in the accuracy and reliability of the results.
