CPEG 2025 workshop

Building open data science skills in paleobiology and ecology


Introductions

Erin Dillon

Smithsonian Tropical Research Institute, Panama

Harriet Drage

University of Lausanne, Switzerland

Lewis Jones

University College London, UK

Will Gearty

Syracuse University, USA

Bethany Allen

GFZ Helmholtz Centre for Geosciences, Germany

Pedro Godoy

University of São Paulo, Brazil

Chris Dean

University College London, UK

Niklas Hohmann

Utrecht University, Netherlands

Palaeoverse

Why open science?

  • Open science aims to make research and its outcomes—at all stages—more accessible
    • Increases transparency, reproducibility, and reusability
    • Facilitates collaboration
    • Broadens access to scientific knowledge
    • Enhance the impact and reach of our science

Objectives

  • Goal: overview of how to process data in an open and reproducible way
  • Learning objectives:
    • Gain exposure to tools and best practices for developing and sharing reproducible workflows
    • Build confidence working with data in R
    • Practice coding collaboratively
    • Connect with other workshop participants

Resources

  • You’ll walk away with:
    • Template for creating a workflow and example code that you can adapt to your own work
    • Workshop materials and resources
    • An expanded network of colleagues

Schedule

Time Event
08:00 Installation assistance (optional)
09:00 Welcome and introduction to the Palaeoverse
09:15 Setting up a reproducible workflow
10:30 Coffee break☕
10:45 Data acquisition
11:15 Data Processing I: Data exploration and cleaning
12:30 Lunch break 🥪
14:00 Data Processing II: Data harmonization and synthesis
15:30 Coffee break☕
15:45 Data archiving and publishing
16:45 Questions and wrap-up

Logistics

  • Room KO2-F-152
  • Restrooms
  • Exits
  • Internet

Raise your hand if…

  • you are just getting started in R
  • you feel comfortable coding in R
  • you work with R so much that you dream in ggplot
  • you have used GitHub before
  • you have downloaded data from a database
  • you have archived your data and/or code

Meet your colleagues!

  • Name
  • Institution
  • Career stage
  • Research interests
  • Example of open science in action?