Paper Info
Title
A data-centric neuroscience gateway: design, implementation, and experiences.
Abstract
Science gateways provide UIs and high-level services to access and manage applications and data collections on distributed resources. They facilitate users to perform data analysis on distributed computing infrastructures without getting involved into the technical details. The e-BioInfra Gateway is a science gateway for biomedical data analysis on a national grid infrastructure, which has been successfully adopted for neuroscience research. This paper describes the motivation, requirements, and design of a new generation of e-BioInfra Gateway, which is based on the grid and cloud user support environment (also known as WS-PGRADE/gUSE framework) and supports heterogeneous infrastructures. The new gateway has been designed to have additional data and meta-data management facilities to access and manage (biomedical) data servers, and to provide data-centric user interaction. We have implemented and deployed the new gateway for the computational neuroscience research community of the Academic Medical Center of the University of Amsterdam. This paper presents the system architecture of the new gateway, highlights the improvements that have been achieved, discusses the choices that we have made, and reflects on those based on initial user feedback. Copyright (c) 2014 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/cpe.3281
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
science gateway (SG),e-Science,computational neuroscience,medical image analysis,grid computing,virtual laboratory (VL),problem solving environment (PSE),virtual research enviroment (VRE)
Journal
27
Issue
ISSN
Citations 
SP2
1532-0626
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Shayan Shahand1386.31
Ammar Benabdelkader2284.52
Mohammad Mahdi Jaghoori318715.25
Mostapha al Mourabit420.76
J Huguet541.51
Matthan W. A. Caan68511.15
Antoine H. C. van Kampen7628.90
Sílvia Delgado Olabarriaga810517.01