This month on OSOH

Data Visualization


This talk explores the principles and practices of open and reproducible data visualization, with demonstrations in Python. We will cover best practices for creating transparent, shareable, and reproducible visualizations, emphasizing the importance of open-source tools and reproducible workflows.


Workshop: May 10, 4 pm at Thompson House Restaurant (with food afterwards!)
Expert: Kendra Oudyk, PhD candidate, McGill University

Open Science Resources

Open Science Resources

Quickly find curated resources based on your specific Open Science needs.

Office Hours

Office Hours

Need suppport with any aspect of Open Science? Come talk to us!

Get involved

Get involved

Have an idea for a theme? Want to suggest a missing Open Science resource? We...


News and Events

Data Visualization

Data Visualization

Creating open and reproducible data visualizations in Python

Communicating through code

Communicating through code

Clean code and computational reproducibility.

Intro to Git/GitHub

Intro to Git/GitHub

In February, we introduce you to git and GitHub for tracking and sharing your code....

Installation help

Installation help

In January, we're helping people install R, Python, and Git in preparation for future workshops....

Winter & Spring 2024

Winter & Spring 2024

From January to May, we're all about Open Code and Software for Analysis!

DataLad

DataLad

In December, we introduce DataLad for tracking your datasets.

Big Data

Big Data

In November, we look at finding, accessing, and (re)using large open datasets.

Intro to BIDS

Intro to BIDS

In October, we cover the basics of the Brain Imaging Data Structure - a key...

Intro to Open Data

Intro to Open Data

This month, we cover the best practices of Data Management and Sharing, and how to...

Fall 2023: Open Data

Fall 2023: Open Data

Fall is the season of open data!

OSOH is alive!

OSOH is alive!

Welcome to Open Science Office Hours, where Open Science comes alive.