Purpose

To develop an open source curriculum for a two-day workshop on reproducibility with an emphasis on modularity for incorporation and dissemination in multiple formats.

 

Goals not in scope

• developing new tools
• specialized curriculum components
• tools/approaches for bench science
• anything that others cannot reuse without restrictions

 

 

Reproducibility in sciences is a problem

 

 

Change through education

 

 

Motivation

Stress self-benefit

Saving time and effort

Bigger & faster science

 More interesting questions

Bruno Oliveira

Audience for Bootcamp

• Little to no programming experience
• Has struggled with organization
• Excel users

 

What are the essentials for learning reproducibility?

How the hell do we teach this?

1. Teach reproducibility as a way of thinking

2. Good, Better, Best

3. Don't teach git, teach version control as a concept

4. Strive to be programming agnostic

5. Teach pain points and how to get help

Mission Statement: To train researchers in the best practices and approaches of reproducible research 

 

Tagline: Accelerating scientific progress through reproducible science. 

 

Common Dataset: Gapminder

 http://www.gapminder.org/data/

https://github.com/Reproducible-Science-Curriculum

Developed new workflow for managing curriculum material

 

Developed new workflow for managing curriculum material

 

More info: https://github.com/Reproducible-Science-Curriculum/rr-logistics-join

• central place
• Continuous checking
• Easy to remix content
• Single download
• Scratch space
• Easy Setup 

Ulterior Motive

Get people passionate about reproducibility together in one place to discuss tools.

i.e.nerd out.

 

Unconference

maker

Future 

Organizing Committee

 

Karen Cranston

Hilmar Lapp

Ciera Martinez

Francois Michonneau

Matt Pennell

Tracy Teal

 

Full list of participants

Funding

Host