This month on OSOH
NeuroLibre: Reproducible and Executable Preprints
The needs of scientific publishing have evolved with the increasing computational complexity behind research articles. Just as authoring tools advanced from typewriters to text editors, it’s time to integrate computation into publications. NeuroLibre is designed for this purpose, enabling reproducible preprints. In this workshop, we'll explore how to prepare and submit a NeuroLibre preprint, familiarizing ourselves with next-generation authoring tools.
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NeuroLibre
Reproducible and Executable Preprints
How open is my science?
Special lecture by Adam Thomas
Data Visualization
Creating open and reproducible data visualizations in Python
Communicating through code
Clean code and computational reproducibility.
Intro to Git/GitHub
In February, we introduce you to git and GitHub for tracking and sharing your code....
Installation help
In January, we're helping people install R, Python, and Git in preparation for future workshops....
Winter & Spring 2024
From January to May, we're all about Open Code and Software for Analysis!
DataLad
In December, we introduce DataLad for tracking your datasets.
Big Data
In November, we look at finding, accessing, and (re)using large open datasets.
Intro to BIDS
In October, we cover the basics of the Brain Imaging Data Structure - a key...
Intro to Open Data
This month, we cover the best practices of Data Management and Sharing, and how to...
Fall 2023: Open Data
Fall is the season of open data!
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