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Provision of an integrated data analysis platform for computational neuroscience experiments

Munir, Kamran; Kiani, Saad Liaquat; Hasham, Khawar; McClatchey, Richard; Branson, Andrew; Shamdasani, Jetendr

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Saad Liaquat Kiani

Khawar Hasham

Andrew Branson

Jetendr Shamdasani


© Emerald Group Publishing Limited. Purpose – The purpose of this paper is to provide an integrated analysis base to facilitate computational neuroscience experiments, following a user-led approach to provide access to the integrated neuroscience data and to enable the analyses demanded by the biomedical research community. Design/methodology/approach – The design and development of the N4U analysis base and related information services addresses the existing research and practical challenges by offering an integrated medical data analysis environment with the necessary building blocks for neuroscientists to optimally exploit neuroscience workflows, large image data sets and algorithms to conduct analyses. Findings – The provision of an integrated e-science environment of computational neuroimaging can enhance the prospects, speed and utility of the data analysis process for neurodegenerative diseases. Originality/value – The N4U analysis base enables conducting biomedical data analyses by indexing and interlinking the neuroimaging and clinical study data sets stored on the grid infrastructure, algorithms and scientific workflow definitions along with their associated provenance information.


Munir, K., Kiani, S. L., Hasham, K., McClatchey, R., Branson, A., & Shamdasani, J. (2014). Provision of an integrated data analysis platform for computational neuroscience experiments. Journal of Systems and Information Technology, 16(3), 150-169.

Journal Article Type Article
Publication Date Jan 1, 2014
Deposit Date Sep 8, 2014
Publicly Available Date Feb 10, 2016
Journal Journal of Systems and Information Technology
Print ISSN 1328-7265
Electronic ISSN 1758-8847
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 16
Issue 3
Pages 150-169
Keywords computational neuroscience, data analysis, e-science, data integration, scientific workflow, information service
Public URL
Publisher URL
Additional Information Additional Information : This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited - See more at:


K Munir Submission-Journal of Systems and Information Technology.pdf (922 Kb)

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