Title
Improving the analysis, storage and sharing of neuroimaging data using relational databases and distributed computing.
Abstract
The increasingly complex research questions addressed by neuroimaging research impose substantial demands on computational infrastructures. These infrastructures need to support management of massive amounts of data in a way that affords rapid and precise data analysis, to allow collaborative research, and to achieve these aims securely and with minimum management overhead. Here we present an approach that overcomes many current limitations in data analysis and data sharing. This approach is based on open source database management systems that support complex data queries as an integral part of data analysis, flexible data sharing, and parallel and distributed data processing using cluster computing and Grid computing resources. We assess the strengths of these approaches as compared to current frameworks based on storage of binary or text files. We then describe in detail the implementation of such a system and provide a concrete description of how it was used to enable a complex analysis of fMRI time series data.
Year
DOI
Venue
2008
10.1016/j.neuroimage.2007.09.021
NeuroImage
Field
DocType
Volume
Time series,Data processing,Grid computing,Relational database,Computer science,Data sharing,Complex data type,Computer cluster,Distributed computing,Data efficiency
Journal
39
Issue
ISSN
Citations 
2
1053-8119
18
PageRank 
References 
Authors
1.73
14
5
Name
Order
Citations
PageRank
Uri Hasson116319.42
Jeremy I Skipper2182.07
Michael J Wilde3181.73
Howard C Nusbaum47113.05
Steven L. Small515822.15