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This lesson provides an overview of how to conceptualize, design, implement, and maintain neuroscientific pipelines in via the cloud-based computational reproducibility platform Code Ocean. 

Difficulty level: Beginner
Duration: 17:01
Speaker: : David Feng

In this workshop talk, you will receive a tour of the Code Ocean ScienceOps Platform, a centralized cloud workspace for all teams. 

Difficulty level: Beginner
Duration: 10:24
Speaker: : Frank Zappulla

This lesson provides an overview of how to construct computational pipelines for neurophysiological data using DataJoint.

Difficulty level: Beginner
Duration: 17:37
Speaker: : Dimitri Yatsenko

This talk describes approaches to maintaining integrated workflows and data management schema, taking advantage of the many open source, collaborative platforms already existing.

Difficulty level: Beginner
Duration: 15:15
Speaker: : Erik C. Johnson

This hands-on tutorial walks you through DataJoint platform, highlighting features and schema which can be used to build robost neuroscientific pipelines. 

Difficulty level: Beginner
Duration: 26:06
Speaker: : Milagros Marin

This lesson provides an introduction to the DataLad, a free and open source distributed data management system that keeps track of your data, creates structure, ensures reproducibility, supports collaboration, and integrates with widely used data infrastructure.

Difficulty level: Beginner
Duration: 22:56

This lesson introduces several open science tools like Docker and Apptainer which can be used to develop portable and reproducible software environments. 

Difficulty level: Beginner
Duration: 17:22
Speaker: : Joanes Grandjean

This lecture provides a detailed description of how to incorporate HED annotation into your neuroimaging data pipeline. 

Difficulty level: Beginner
Duration: 33:36
Speaker: : Dung Truong

This talk covers the differences between applying HED annotation to fMRI datasets versus other neuroimaging practices, and also introduces an analysis pipeline using HED tags. 

Difficulty level: Beginner
Duration: 22:52
Speaker: : Monique Denissen

This lesson provides a short reel on who we are, what we're doing and why we're doing it.

Difficulty level: Beginner
Duration: 2:38
Speaker: :

In this webinar, educators currently implementing collaborative annotation in their classrooms discuss their experiences with collaborative annotation and using Hythothes.is and Canvas App.

Difficulty level: Beginner
Duration: 53:14
Speaker: : Jeremy Dean

This tutorial provides an overview of how to use the feature of Hypothes.is.

Difficulty level: Beginner
Duration: 09:30
Speaker: :

This lesson gives a brief overview of the Hypothes.is functionality from an end user's perspective.

Difficulty level: Beginner
Duration: 5:36
Speaker: : Heather Staines

This video will teach you the basics of navigating the Open Science Framework and creating your first projects.

Difficulty level: Beginner
Duration: 2:11
Speaker: :

This webinar walks you through the basics of creating an OSF project, structuring it to fit your research needs, adding collaborators, and tying your favorite online tools into your project structure.

Difficulty level: Beginner
Duration: 55:02
Speaker: : Ian Sullivan

This webinar will introduce how to use the Open Science Framework (OSF) in a classroom setting.

Difficulty level: Beginner
Duration: 32:01

This lesson provides instruction on how to organize related projects with OSF features such as links, forks, and templates.

Difficulty level: Beginner
Duration: 51:14
Speaker: : Ian Sullivan

This webinar will introduce the integration of JASP Statistical Software with the Open Science Framework (OSF).

Difficulty level: Beginner
Duration: 30:56
Speaker: : Alexander Etz

This lesson describes the value of version control, as well as how to do so with your own files and data on OSF. 

Difficulty level: Beginner
Duration: 22:07

This lecture focuses on where and how Jupyter notebooks can be used most effectively for education.

Difficulty level: Beginner
Duration: 34:53
Speaker: : Thomas Kluyver