Dependency Management

Dependencies are any software or software libraries that your research workflow requires to execute. For example, data analysis in Python often relies on the NumPy or Pandas Python packages, while R workflows might rely in the Tidyverse library. It is important to keep track of which dependencies and which versions of each dependency are being used in your workflow. Unclear or insufficient dependency management can lead to inconsistent results or failure of other researchers to reproduce your results.

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Procedures and Tools

Title	Description	Technical Level	Relevance
Virtual Environment Introduction	Introduces virtual environments for dependency management
Introduction to containers Docker, and why-you-should-use-it-for-your-research Basic tutorial Running Docker locally and on Hydras	need to organize