Odyssey training lesson
Authors
Greek Mythology icons made by max.icons from www.flaticon.com
Lesson overview
Description
This lesson introduces the Odyssey framework, an R Shiny application that supports interactive exploration of biodiversity data. Through hands-on examples, learners will use Odyssey to investigate molecular biodiversity records alongside geographic metadata and gain experience with practical data discovery workflows for biodiversity research and data management.
Prerequisites
To be able to follow this course, learners should have knowledge in:
1. Basic familiarity with R and RStudio
Learning Outcomes:
By the end of the course, learners will be able to:
1. Use the Odyssey interface to explore biodiversity datasets
2. Inspect and assess geographic and molecular metadata consistency
Target Audience: Researchers, undergraduate students, postgraduate students, etc…
Level: Beginner to Intermediate
License: Creative Commons Attribution 4.0 International License
Funding: This work was supported by ELIXIR, the research infrastructure for life science data (through the 2024-SCIENCE-BFSP commissioned services project).
Contributors
Helle Tessand Baalsrud
Aristotelis C. Papageorgiou
Department of Molecular Biology and Genetics, Democritus University of Thrace
Evangelos (Vangelis) Pafilis
Institute of Marine Biology, Biotechnology and Aquaculture, Hellenic Centre for Marine Research
Margaritis Tsifintaris
Department of Molecular Biology and Genetics, Democritus University of Thrace
Lars Grønvold
Arturo Vera Ponce de Leon
Thu-Hien To
Gareth Benjamin Gillard
Citing this lesson
Please cite as:
- Enter your citation here.
- Geert van Geest, Elin Kronander, Jose Alejandro Romero Herrera, Nadja Žlender, & Alexia Cardona. (2023). The ELIXIR Training Lesson Template - Developing Training Together (v1.0.0-alpha). Zenodo. https://doi.org/10.5281/zenodo.7913092.
Setup
Data setup
To run this lesson you need to install data from …
Software setup
To follow this lesson, learners need a working R environment and RStudio.
Required software:
-
R (version 4.4 or newer recommended) Download and installation instructions are available from the Comprehensive R Archive Network (CRAN): https://cran.r-project.org/
-
RStudio RStudio provides an integrated development environment for R and is strongly recommended for this lesson: https://posit.co/download/rstudio-desktop/








