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DOI

EDS 214: Analytical Workflows and Scientific Reproducibility

This course is taught as part of the Master of Environmental Data Science (MEDS), Bren School of Environmental Science & Management, UC Santa Barbara

Instructor

Julien Brun

Course description

The generation and analysis of environmental data is often a complex, multi-step process that may involve the collaboration of many people. Increasingly tools that document help to organize and document workflows are being used to ensure reproducibility and transparency of the results. This course will introduce students to the conceptual organization of workflows as a way to conduct reproducible analyses, as well as various software tools that help users manage multi-step processes that require tools for storing, managing and sharing workflows, code, documents and data.


Course Materials: https://brunj7.github.io/EDS-214-analytical-workflows/



This website template is made with distill by RStudio as an optional starting point for teachers in the Master of Environmental Data Science Program at the Bren School (UC Santa Barbara).

Click here for a template preview.




Creative Commons License

The original parts of this work are licensed under a Creative Commons Attribution 4.0 International License.