Author:
Poline Jean-Baptiste,Das Samir,Glatard Tristan,Madjar Cécile,Dickie Erin W.,Lecours Xavier,Beaudry Thomas,Beck Natacha,Behan Brendan,Brown Shawn T.,Bujold David,Beauvais Michael,Caron Bryan,Czech Candice,Dharsee Moyez,Dugré Mathieu,Evans Ken,Gee Tom,Ippoliti Giulia,Kiar Gregory,Knoppers Bartha Maria,Kuehn Tristan,Le Diana,Lo Derek,Mazaheri Mandana,MacFarlane Dave,Muja Naser,O’Brien Emmet A.,O’Callaghan Liam,Paiva Santiago,Park Patrick,Quesnel Darcy,Rabelais Henri,Rioux Pierre,Legault Mélanie,Tremblay-Mercier Jennifer,Rotenberg David,Stone Jessica,Strauss Ted,Zaytseva Ksenia,Zhou Joey,Duchesne Simon,Khan Ali R.,Hill Sean,Evans Alan C.
Abstract
AbstractWe present the Canadian Open Neuroscience Platform (CONP) portal to answer the research community’s need for flexible data sharing resources and provide advanced tools for search and processing infrastructure capacity. This portal differs from previous data sharing projects as it integrates datasets originating from a number of already existing platforms or databases through DataLad, a file level data integrity and access layer. The portal is also an entry point for searching and accessing a large number of standardized and containerized software and links to a computing infrastructure. It leverages community standards to help document and facilitate reuse of both datasets and tools, and already shows a growing community adoption giving access to more than 60 neuroscience datasets and over 70 tools. The CONP portal demonstrates the feasibility and offers a model of a distributed data and tool management system across 17 institutions throughout Canada.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
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