VLab5 Course
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  • Global Tuna Atlas and VLab5
    • Lesson 1 - Intro to Global Tuna Atlas
    • Lesson 2 - Running R Workflows in VLab5
    • Lesson 3 - Exploring GTA data via Shiny

Fisheries Atlas - VLab5 Course

  • Lesson 1 - Intro to Global Tuna Atlas
    • Global Tuna Atlas datasets and workflow architecture
    • Derived products
    • Why reproducibility matters in GTA workflows
    • Role of CWP Standards in GTA Draft
  • Lesson 2 - Running R Workflows in VLab5
    • Overview
    • Introduction to VLab5 and RStudio Server
    • Project organization
    • Running Rscripts in a loaded project
    • Advanced: Personal renv cache on RStudio Server (BlueCloud 2026 infrastructure)
    • Advanced: Deploy repositories in your own VLab
  • Lesson 3 - Exploring GTA data via Shiny
    • Exploring Global Tuna Atlas data via Shiny

On this page

  • Welcome
  • Modules
  • Reuse & license

Fisheries Atlas - VLab5 Course

Blue-Cloud 2026 IRD - Institut de recherche pour le développement VLab 5: Global Fisheries Atlas European Union emblem

Welcome

This website brings together tutorials and courses on the Global Tuna Atlas (GTA) datasets, the related Shiny applications, and how to use VLab5 within the Blue-Cloud 2026 project.
Our aim is to help researchers, practitioners and decision-makers explore, analyse and reproduce global tuna fisheries workflows.

You will learn to:

  • understand the structure and provenance of GTA datasets;
  • run analyses reproducibly on VLab5;
  • use GTA Shiny apps for exploration and QA/QC.

Acknowledgement. This work is part of Blue-Cloud 2026 and has received funding from the European Union’s Horizon Europe programme (Grant Agreement No 101094227).


Modules

Lesson 1 - Intro to Global Tuna Atlas

This lesson introduces the Global Tuna Atlas (GTA): its purpose, data levels (nominal, georeferenced, raised), and how it brings together datasets from all tuna RFMOs for global transparency and comparability.


Lesson 2 - Running R Workflows in VLab5

Here you will learn how to run reproducible R workflows inside VLab5, using tools like renv, and understand how GTA workflows ensure consistency and collaboration.


Lesson 3 - Exploring GTA Data via Shiny

This lesson shows how to explore GTA datasets with Shiny apps: filtering by species, fleet, or gear, visualizing catches and effort through maps and time series, and exporting results easily.


Reuse & license

Materials are open for reuse unless noted otherwise.