2025 Paleontological Society Short Course

Open Science, Collaboration, and Reproducibility in Paleontology

Organizer Introductions

Will Gearty

Syracuse University

Erin Dillon

Smithsonian Tropical Research Institute

Mark Nikolic

Stanford University

Palaeoverse

Guest Introductions

Broc Kokesh

University of California, Berkeley

Pedro M. Monarrez

Virginia Tech

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 paleontological 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

Logistics

  • Room 211
  • 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?