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Data and Tools Integration in the Canadian Open Neuroscience Platform.

Authors :
Poline JB
Das S
Glatard T
Madjar C
Dickie EW
Lecours X
Beaudry T
Beck N
Behan B
Brown ST
Bujold D
Beauvais M
Caron B
Czech C
Dharsee M
Dugré M
Evans K
Gee T
Ippoliti G
Kiar G
Knoppers BM
Kuehn T
Le D
Lo D
Mazaheri M
MacFarlane D
Muja N
O'Brien EA
O'Callaghan L
Paiva S
Park P
Quesnel D
Rabelais H
Rioux P
Legault M
Tremblay-Mercier J
Rotenberg D
Stone J
Strauss T
Zaytseva K
Zhou J
Duchesne S
Khan AR
Hill S
Evans AC
Source :
Scientific data [Sci Data] 2023 Apr 06; Vol. 10 (1), pp. 189. Date of Electronic Publication: 2023 Apr 06.
Publication Year :
2023

Abstract

We 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.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2052-4463
Volume :
10
Issue :
1
Database :
MEDLINE
Journal :
Scientific data
Publication Type :
Academic Journal
Accession number :
37024500
Full Text :
https://doi.org/10.1038/s41597-023-01946-1