Skip to main content

In this presentation by the OHBM OpenScienceSIG, Tom Shaw and Steffen Bollmann cover how containers can be useful for running the same software on different platforms and sharing analysis pipelines with other researchers. They demonstrate how to build docker containers from scratch, using Neurodocker, and cover how to use containers on an HPC with singularity.

 

 

Difficulty level: Beginner
Duration: 01:21:59

Serving as good refresher, Shawn Grooms explains the maths and logic concepts that are important for programmers to understand, including sets, propositional logic, conditional statements, and more.

 

This compilation is courtesy of freeCodeCamp.

Difficulty level: Beginner
Duration: 01:00:07
Speaker: :

Linear algebra is the branch of mathematics concerning linear equations such as linear functions and their representations through matrices and vector spaces. As such, it underlies a huge variety of analyses in the neurosciences.  This lesson provides a useful refresher which will facilitate the use of Matlab, Octave, and various matrix-manipulation and machine-learning software.

 

This lesson was created by RootMath.

Difficulty level: Beginner
Duration: 01:21:30
Speaker: :

This lecture discusses the the importance and need for data sharing in clinical neuroscience.

Difficulty level: Intermediate
Duration: 25:22
Speaker: : Thomas Berger

This lecture presents the Medical Informatic Platform's data federation for Traumatic Brain Injury.

Difficulty level: Intermediate
Duration: 25:55
Speaker: : Stefano Finazzi

This lecture gives insights into the Medical Informatics Platform's current and future data privacy model.

Difficulty level: Intermediate
Duration: 17:29
Speaker: : Yannis Ioannidis

This lecture explains the concept of federated analysis in the context of medical data, associated challenges. The lecture also presents an example of hospital federations via the Medical Informatics Platform.

Difficulty level: Intermediate
Duration: 19:15
Speaker: : Yannis Ioannidis

This lecture gives an overview on the European Health Dataspace. 

Difficulty level: Intermediate
Duration: 26:33

This lecture presents the Medical Informatics Platform's data federation in epilepsy.

Difficulty level: Intermediate
Duration: 27:09
Speaker: : Philippe Ryvlin

This lecture presents the Medical Informatics Platform's data federation in epilepsy.

Difficulty level: Intermediate
Duration: 26:51
Speaker: : Pawel Swieboda
Course:

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.

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

DAQCORD is a framework for the design, documentation and reporting of data curation methods in order to advance the scientific rigour, reproducibility and analysis of the data. This lecture covers the rationale for developing the framework, the process in which the framework was developed, and ends with a presentation of the framework. While the driving use case for DAQCORD was clinical traumatic brain injury research, the framework is applicable to clinical studies in other domains of clinical neuroscience research.

Difficulty level: Intermediate
Duration: 17:08
Speaker: : Ari Ercole

This lecture focuses on ontologies for clinical neurosciences.

Difficulty level: Intermediate
Duration: 21:54

This presentation discusses the impact of data sharing in stroke.

Difficulty level: Intermediate
Duration: 16:33
Speaker: : Valeria Caso

This talks discusses data sharing in the context of dementia. It explains why data sharing in dementia is important, how data is usually shared in the field and illustrates two examples: the Netherlands Consortium Dementia cohorts and the European Platform for Neurodegenerative Diseases.

Difficulty level: Intermediate
Duration: 21:21

This talk introduces data sharing initiatives in Epilepsy, particularly across Europe.

Difficulty level: Intermediate
Duration: 13:56
Speaker: : J. Helen Cross

Not long ago, scientists in physiotherapy would claim for the need of big data and large initiatives in the US have already allowed to collect large retrospective data on recovery after brain injury and are working to collect prospective data. In Europe, there is a large field of collaboration in the field of aphasia supported by the European cooperation in Science and Technology that is collecting data on language recovery throughout the world. This lecture discusses recent advances in sharing big data for neurorehabilitation.

Difficulty level: Beginner
Duration: 19:30
Speaker: : Letizia Leocani

This talks presents an overview of the potential for data federation in stroke research.

Difficulty level: Intermediate
Duration: 21:37

This lecture explains the need for data federation in medicine and how it can be achieved.

Difficulty level: Intermediate
Duration: 27:09
Speaker: : Philippe Ryvlin

The Medical Informatics Platform (MIP) is a platform providing federated analytics for diagnosis and research in clinical neuroscience research. The federated analytics is possible thanks to a distributed engine that executes computations and transfers information between the members of the federation (hospital nodes). In this talk the speaker will describe the process of designing and implementing new analytical tools, i.e. statistical and machine learning algorithms.  Mr. Sakellariou will further describe the environment in which these federated algorithms run, the challenges and the available tools, the principles that guide its design and the followed general methodology for each new algorithm. One of the most important challenges which are faced is to design these tools in a way that does not compromise the privacy of the clinical data involved. The speaker will show how to address the main questions when designing such algorithms: how to decompose and distribute the computations and what kind of information to exchange between nodes, in order to comply with the privacy constraint mentioned above. Finally, also the subject of validating these federated algorithms will be briefly touched.

Difficulty level: Intermediate
Duration: 20:26
Speaker: : Jason Skellariou