Module 7: Development best-practices including FAIR data principles

This module will teach you different aspects in regards to Data Workflows, handling filenames and best practices such as testing, continuous integration and licensing.

0Learning Outcomes

1About Filenames

2Project Organization

3Data Science Workflows


5Introduction to CI/CD and Github Actions

6Software Licensing

About this course

This is a free, open source course on how to use different Data Science Tools such as Jupyter Notebooks, Rmd, Docker, and Git. It's made possible by a long and fruitful collaboration and possible thanks to NSF and EarthCube. Contributions and comments on how to improve the course are welcome! To file an issue go to:

About me

For nearly a decade, the EarthCube community has been transforming the conduct of geosciences research by developing and maintaining a well-connected and facile environment that improves access, sharing, visualization, and analysis of data and related resources. While sharable tools, methods, and cyberinfrastructure have been critical achievements for EarthCube, we find that our dedicated community is what makes our program successful.