@neurIST - Towards a System Architecture for Advanced Disease Management through Integration of Heterogeneous Data, Computing, and Complex Processing Services

Rajasekaran, Hariharan; Iacono, Luigi Lo; Hasselmeyer, Peer; Fingberg, Jochen; Summers, Paul; Benkner, Siegfried; Engelbrecht, Gerhard; Arbona, Antonio; Chiarini, Alessandro; Friedrich, Christoph M.; Hofmann‐Apitius, Martin; Kumpf, Kai; Moore, Bob; Bijlenga, Philippe; Iavindrasana, Jimison; Mueller, Henning; Hose, Rod; Dunlop, Robert; Frangi, Alejandro F.

doi:10.1109/cbms.2008.42

Cited by 17 publications

(14 citation statements)

References 2 publications

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“…Taverna [3], caGrid [2], @neurIST [4] and many other bio-informatics projects are based on SOA design concepts, enabling wider user communities to benefit from algorithmic and computational features. The neuGRID generic medical services are designed on these principles and an interaction of the subset of services is shown in Figure 1.…”

Section: The Neugrid Services Infrastructurementioning

confidence: 99%

A middleware agnostic infrastructure for neuro-imaging analysis

Mehmood¹,

Habib²,

Bloodsworth³

et al. 2009

2009 22nd IEEE International Symposium on Computer-Based Medical Systems

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Large-scale neuroscience research projects are necessary in order to make significant progress in the study of degenerative brain diseases. At present the effectiveness of such efforts is being somewhat restricted by the absence of specifically tailored computing infrastructures. The neuGRID project aims to address this through the provision of a highlevel service oriented infrastructure that enables complex neuro-science research. One of the principle aims of this work is to develop portable services that can be re-used in a larger set of related medical applications to access distributed computing resources. These services will provide high-level functionality that will support workflow authoring and planning, provenance storage and retrieval, querying against heterogeneous data sources as well as security and data anonymization amongst others. This paper introduces the neuGRID service architecture and outlines the design of two specific services, namely the Pipeline Service and the Glueing Service. A proof of concept implementation to evaluate the neuGRID design approach has been developed.

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Section: The Neugrid Services Infrastructurementioning

confidence: 99%

A middleware agnostic infrastructure for neuro-imaging analysis

Mehmood¹,

Habib²,

Bloodsworth³

et al. 2009

2009 22nd IEEE International Symposium on Computer-Based Medical Systems

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“…The @neurIST project [12] worked to develop an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments. Many of the components developed by the project are only released under commercial licencing terms, such as @neuEndo, which enables clinicians to model aneurysms.…”

Section: Review Of the State Of The Artmentioning

confidence: 99%

IMENSE: An e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment

Zasada

Wang

Haidar

et al. 2012

Journal of Computational Science

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“…The base Grid technology utilized in the European Union's @neurIST project [1] leverages developments from other projects in particular the European GEMSS project [18], the Vienna Grid Environment (VGE) [2], and the commercial Fura Grid middleware [19]. In this paper we focus on data service technologies [3], which have been initially developed in the context of the VGE middleware and further enhanced within @neurIST with flexible data mediation mechanisms and integrated support for distributed query processing.…”

Section: Architecturementioning

confidence: 99%

A Service Oriented Approach for Distributed Data Mediation on the Grid

Koehler

Benkner

2009

2009 Eighth International Conference on Grid and Cooperative Computing

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Seamless integrated access to data stored in globally distributed databases has become a major challenge in many scientific disciplines. In this paper, we describe a Gridbased service-oriented infrastructure that tackles this challenge through the provisioning of virtual data sources realized by means of distributed data mediation services. Virtual data sources offer to the user a single integrated view of distributed heterogeneous databases and information sources while hiding the details of data location, data formats, and access mechanisms of the underlying physical data sources. Personalized views of data sources, tailor-made for specific usage scenarios, may be offered by different virtual data sources. Virtual data sources rely on flexible mediation techniques and utilize distributed query processing to optimize complex data integration scenarios. Distributed data mediation services have been realized on top of standard Grid and Web Services technologies including OGSA-DAI and OGSA-DQP. The generic data service infrastructure described in this paper is being utilized in the context of the European @neurIST project, which develops an advanced service-oriented Grid infrastructure for the management and treatment of multi-factorial diseases. Details of distributed data mediation and query processing are presented in the context of an experimental scenario integrating clinical data bases.

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@neurIST - Towards a System Architecture for Advanced Disease Management through Integration of Heterogeneous Data, Computing, and Complex Processing Services

Cited by 17 publications

References 2 publications

A middleware agnostic infrastructure for neuro-imaging analysis

A middleware agnostic infrastructure for neuro-imaging analysis

IMENSE: An e-infrastructure environment for patient specific multiscale data integration, modelling and clinical treatment

A Service Oriented Approach for Distributed Data Mediation on the Grid

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