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

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

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

This lecture describes how to build research workflows, including a demonstrate using DataJoint Elements to build data pipelines.

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

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

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

This video will document the process of visualizing the provenance of each step performed to generate a data object on brainlife.

This video will document the process of downloading and running the "reproduce.sh" script, which will automatically run all of the steps to generate a data object locally on a user's machine.

This video will document the process of creating a pipeline rule for batch processing on brainlife.

This lesson describes and shows four different ways one may upload their data to brainlife.io.

This video will demonstrate how to create and launch a pipeline using FreeSurfer on brainlife.io.

This short video shows how a brainlife.io publication can be opened from the Data Deposition page of the journal Nature Scientific Data.

This video will document the process of importing a dataset archived on OpenNeuro from the Datasets tab into a brainlife project.

Overview of the evolution of scientific paradigms and the growing role of digital infrastructures in modern neuroscience

Mathew Abrams, Director of Science & Training at INCF, outlined how INCF and its global community advance standards, software, infrastructure, and education to enable FAIR and open neuroscience.

EBRAINS is an open research infrastructure which gathering data, tools and computing facilities for brain-related research. In this lecture, professor Trygve Leergaard will introduce the EBRAINS ecosystem and give overview of services for sharing, finding, and using brain research data. He will provide practical examples of how EBRAINS can add values to neuroscience research projects and explain how researchers can engage and utilize the different resources available

This session introduced EBRAINS data and knowledge services and explained how to achieve impactful data sharing through proper curation, FAIR principles, and secure handling of both non-sensitive and sensitive data.

This lesson focused on the importance of organizing data and metadata effectively to ensure that datasets are FAIR and to make data sharing more impactful.

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