Data and Tools Integration in the Canadian Open Neuroscience Platform
Jean-Baptiste Poline1,2,3, Samir Das4, Tristan Glatard5
1McGill University, Montreal Neurological Institute and Hospital, McConnell Brain Imaging Centre, Neuro Data Science ORIGAMI lab, Montreal, Quebec, Canada. jbpoline@gmail.com.
Scientific Data
|April 6, 2023
Summary
The Canadian Open Neuroscience Platform (CONP) provides a flexible portal for neuroscience data sharing and tool access. It integrates diverse datasets and computing resources, fostering research collaboration across Canada.
Area of Science:
- Neuroscience
- Data Science
- Computational Biology
Background:
- The neuroscience research community requires flexible and accessible data sharing resources.
- Existing data sharing platforms often lack integration and advanced processing capabilities.
- There is a need for a unified portal to access diverse neuroscience datasets and computational tools.
Purpose of the Study:
- To introduce the Canadian Open Neuroscience Platform (CONP) portal.
- To address the need for flexible data sharing and advanced tools in neuroscience research.
- To demonstrate a model for a distributed data and tool management system.
Main Methods:
- Integration of existing neuroscience datasets and databases using DataLad.
- Development of a portal for searching and accessing standardized, containerized software.
- Linking to a distributed computing infrastructure across multiple institutions.
Main Results:
- The CONP portal integrates datasets from various existing platforms via DataLad.
- It provides access to over 60 neuroscience datasets and more than 70 tools.
- The portal demonstrates growing community adoption and feasibility across 17 Canadian institutions.
Conclusions:
- The CONP portal offers a feasible model for distributed neuroscience data and tool management.
- It enhances data sharing flexibility and provides access to advanced computational resources.
- The platform supports research collaboration and data reuse through community standards.
