The MNI data-sharing and processing ecosystem.

Abstract:

:Neuroimaging has been facing a data deluge characterized by the exponential growth of both raw and processed data. As a result, mining the massive quantities of digital data collected in these studies offers unprecedented opportunities and has become paramount for today's research. As the neuroimaging community enters the world of "Big Data", there has been a concerted push for enhanced sharing initiatives, whether within a multisite study, across studies, or federated and shared publicly. This article will focus on the database and processing ecosystem developed at the Montreal Neurological Institute (MNI) to support multicenter data acquisition both nationally and internationally, create database repositories, facilitate data-sharing initiatives, and leverage existing software toolkits for large-scale data processing.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Das S,Glatard T,MacIntyre LC,Madjar C,Rogers C,Rousseau ME,Rioux P,MacFarlane D,Mohades Z,Gnanasekaran R,Makowski C,Kostopoulos P,Adalat R,Khalili-Mahani N,Niso G,Moreau JT,Evans AC

doi

10.1016/j.neuroimage.2015.08.076

subject

Has Abstract

pub_date

2016-01-01 00:00:00

pages

1188-1195

issue

Pt B

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(15)00800-9

journal_volume

124

pub_type

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