Training
OHI Onboarding
OHI Onboarding aims to help you get “on board” with Ocean Health Index (OHI) methods and practices as you lead your own independent OHI assessment (OHI+). It helps orient you to open data science & OHI Toolbox training resources listed below, with chapters organized in the same way as we introduce OHI+ assessments.
Open data science & the OHI Toolbox
Introduction to Open Data Science is a hands-on training book introducing the tools, practices, and workflows underpin our work and all OHI assessments, as we describe in Lowndes et al. 2017. Open data science means that methods, data, and code are available so that others can access, reuse, and build from it without much fuss. This training is not specific to OHI, but provides foundational skills for how to do reproducible research with R, RStudio, Git, and GitHub.
OHI Toobox Training is a hands-on training book introducing you to the OHI Toolbox and how to use it to calculate OHI scores, and provide guidance as your team prepares to use the Toolbox. It is built off the open data science tools and practices above. The training is accompanied by its predecessor, the OHI Manual, which is a guide for the Conduct phase of the OHI process, including the Toolbox. It is not written as a hands-on training, but is the most comprehensive handbook of information to guide OHI assessments. The manual is not updated as frequently as the Toolbox Training.
Eco-Data-Science trainings
These are additional tutorials our team has created that are useful for developing open data science skills and leading OHI assessments. Most are from our eco-data-science study group at the University of California Santa Barbara.
Git and Github
R and RStudio
Spatial Analysis
- Spatial analysis in R: Rasters
- Spatial analysis in R: Vectors
- Data visualization using ggmap - cheatsheet
- A primer on coordinate reference systems
Data Visualization
- Data visualization using ggplot2
- Data visualization using ggplot2 - cheatsheet
- Dealing with color in R
Additional resources
OHI Global Fellows
The OHI Global Fellows Program is designed to fulfill our annual OHI assessment needs while providing opportunities for graduate students to learn cutting-edge data science skills and join the OHI Community of Practice.
We piloted the program in 2018 with three UCSB graduate students. Check out their website ohi-science.org/globalfellows!
Related news posts
These are some stories and references about open data science from our News page.