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Odyssey training lesson

Authors

Fotis Psomopoulos

Fotis Psomopoulos


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Anastasia (Natasa) Anastasiadou

Anastasia (Natasa) Anastasiadou


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Nikos Pechlivanis

Nikos Pechlivanis


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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 project has received funding from [name of funders].

Contributors

Helle Tessand Baalsrud

Helle Tessand Baalsrud


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Aristotelis C. Papageorgiou

Aristotelis C. Papageorgiou


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Evangelos (Vangelis) Pafilis

Evangelos (Vangelis) Pafilis


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Margaritis Tsifintaris

Margaritis Tsifintaris


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Nefeli Venetsianou

Nefeli Venetsianou


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Alexios Loukas

Alexios Loukas


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Lars Grønvold

Lars Grønvold


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Arturo Vera Ponce de Leon

Arturo Vera Ponce de Leon


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Thu-Hien To

Thu-Hien To


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Gareth Benjamin Gillard

Gareth Benjamin Gillard


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Citing this lesson

Please cite as:

  1. Enter your citation here.
  2. 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/