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.
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.
This webinar will introduce how to use the Open Science Framework (OSF) in a classroom setting.
This lesson provides instruction on how to organize related projects with OSF features such as links, forks, and templates.
This webinar will introduce the integration of JASP Statistical Software with the Open Science Framework (OSF).
This lesson describes the value of version control, as well as how to do so with your own files and data on OSF.
In this tutorial, you will learn the basic features of uploading and versioning your data within OpenNeuro.org.
This tutorial shows how to share your data in OpenNeuro.org.
Following the previous two tutorials on uploading and sharing data with OpenNeuro.org, this tutorial briefly covers how to run various analyses on your datasets.
In this lesson, you will hear about the current challenges regarding data management, as well as policies and resources aimed to address them.
Longitudinal Online Research and Imaging System (LORIS) is a web-based data and project management software for neuroimaging research studies. It is an open source framework for storing and processing behavioural, clinical, neuroimaging and genetic data. LORIS also makes it easy to manage large datasets acquired over time in a longitudinal study, or at different locations in a large multi-site study.
This lesson describes how DataLad allows you to track and mange both your data and analysis code, thereby facilitating reliable, reproducible, and shareable research.
This lecture covers the NIDM data format within BIDS to make your datasets more searchable, and how to optimize your dataset searches.
This lecture covers positron emission tomography (PET) imaging and the Brain Imaging Data Structure (BIDS), and how they work together within the PET-BIDS standard to make neuroscience more open and FAIR.
This lecture contains an overview of electrophysiology data reuse within the EBRAINS ecosystem.