https://github.com/brunj7/eds-214-analytical-workflows

EDS 214: Analytical Workflows & Scientific Reproducibility
https://github.com/brunj7/eds-214-analytical-workflows

data-science envrionmental-sciences open-science reproducible-science workflow-reusable

Last synced: about 1 year ago
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EDS 214: Analytical Workflows & Scientific Reproducibility

• Host: GitHub
• URL: https://github.com/brunj7/eds-214-analytical-workflows
• Owner: brunj7
• Created: 2021-06-24T16:55:02.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2024-09-04T21:44:27.000Z (almost 2 years ago)
• Last Synced: 2025-02-28T21:57:44.267Z (over 1 year ago)
• Topics: data-science, envrionmental-sciences, open-science, reproducible-science, workflow-reusable
• Language: R
• Homepage: https://brunj7.github.io/EDS-214-analytical-workflows/
• Size: 53.5 MB
• Stars: 0
• Watchers: 2
• Forks: 10
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Code of conduct: code_of_conduct.qmd

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README

          


[![DOI](https://zenodo.org/badge/379994626.svg)](https://zenodo.org/doi/10.5281/zenodo.11194410)

# EDS 214: Analytical Workflows and Scientific Reproducibility

This course is taught as part of the Master of Environmental Data Science ([MEDS](https://bren.ucsb.edu/masters-programs/master-environmental-data-science)), Bren School of Environmental Science & Management, UC Santa Barbara 

## Instructor

[Julien Brun](http://brunj7.github.io/about.html)

## 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](https://rstudio.github.io/distill/) as an optional starting point for teachers in the Master of Environmental Data Science Program at the Bren School (UC Santa Barbara). 

[Click here](https://allisonhorst.github.io/meds-distill-template/) for a template preview.







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