The MNI data-sharing and processing ecosystem

Neuroimage. 2016 Jan 1;124(Pt B):1188-1195. doi: 10.1016/j.neuroimage.2015.08.076. Epub 2015 Sep 10.


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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Behavior
  • Databases, Factual*
  • Genomics
  • Humans
  • Information Dissemination*
  • Longitudinal Studies
  • Neuroimaging*
  • Quality Control
  • Software