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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

In this hands-on session, you will learn how to explore and work with DataLad datasets, containers, and structures using Jupyter notebooks. 

Difficulty level: Beginner
Duration: 58:05

This talk gives an overview of the complicated nature of sharing of neuroscientific data in an environment of numerous and often conflicting legal systems around the world. 

Difficulty level: Beginner
Duration: 14:00
Speaker: : Franco Pestilli

This talk describes the challenges in sharing personal, and in particular, health data, such as data anonymization and maintaining GDPR compliance. 

Difficulty level: Beginner
Duration: 15:57
Speaker: : Petra Ritter

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 lecture provides a history of data management, recent developments data management, and a brief description of scientific data management.

Difficulty level: Advanced
Duration: 35:10
Speaker: : Thomas Heinis

This talk provides an overview of the FAIR-aligned efforts of MATLAB and MathWorks, from the technological building blocks to the open science coordination involved in facilitating greater transparency and efficiency in neuroscience and neuroinformatics. 

Difficulty level: Beginner
Duration: 15:41
Speaker: : Vijay Iyer

In this lesson, you will learn how to understand data management plans and why data sharing is important. 

Difficulty level: Beginner
Duration: 44:24
Speaker: : Jenny Muilenburg

This lecture covers a wide range of aspects regarding neuroinformatics and data governance, describing both their historical developments and current trajectories. Particular tools, platforms, and standards to make your research more FAIR are also discussed.

Difficulty level: Beginner
Duration: 54:58
Speaker: : Franco Pestilli

Computer arithmetic is necessarily performed using approximations to the real numbers they are intended to represent, and consequently it is possible for the discrepancies between the actual solution and the approximate solutions to diverge, i.e. to become increasingly different. This lecture focuses on how this happens and techniques for reducing the effects of these phenomena and discuss systems which are chaotic.

Difficulty level: Beginner
Duration: 36:56
Speaker: : David Lester

This lecture will addresses what it means for a problem to have a computable solution, methods for combining computability results to analyse more complicated problems, and finally look in detail at one particular problem which has no computable solution: the halting problem.

Difficulty level: Beginner
Duration: 28:28
Speaker: : David Lester

This brief video provides an introduction to brainlife.io, a free cloud computing platform for neuroimaging data analysis. 

Difficulty level: Beginner
Duration: 2:41
Speaker: :

This lecture focuses on computational complexity, a concept which lies at the heart of computer science thinking. In short, it is a way to quickly gauge an approximation to the computational resource required to perform a task.

Difficulty level: Beginner
Duration: 27:33
Speaker: : David Lester

This quick visual walkthrough presents the steps required in uploading data into a brainlife project using the graphical user interface (GUI). 

Difficulty level: Beginner
Duration: 2:00
Speaker: :

This video will document the process of uploading data into a brainlife project using ezBIDS.

Difficulty level: Beginner
Duration: 6:15
Speaker: :

This short walkthrough documents the steps needed to find a dataset in OpenNeuro, a free and open platform for sharing MRI, MEG, EEG, iEEG, ECoG, ASL, and PET data, and import it directly to a brainlife project. 

Difficulty level: Beginner
Duration: 0:35
Speaker: :

This short video walks you through the steps of publishing a dataset on brainlife, an open-source, free and secure reproducible neuroscience analysis platform.

Difficulty level: Beginner
Duration: 1:18
Speaker: :

This lesson provides a brief visual walkthrough on the necessary steps when copying data from one brainlife project to another. 

Difficulty level: Beginner
Duration: 1:07
Speaker: :

This lesson visually documents the process of uploading data to brainlife via the command line interface (CLI). 

Difficulty level: Beginner
Duration: 1:28
Speaker: :