Grid-wide neuroimaging data federation in the context of the NeuroLOG project

Franck Michel; Alban Gaignard; Farooq Ahmad; Christian Barillot; Bénédicte Batrancourt; Michel Dojat; Bernard Gibaud; Pascal Girard; David Godard; Gilles Kassel; Diane Lingrand; Grégoire Malandain; Johan Montagnat; Mélanie Pélégrini-Issac; Xavier Pennec; Javier Rojas Balderrama; Bacem Wali

hal-00677815, version 1

Grid-wide neuroimaging data federation in the context of the NeuroLOG project

Franck Michel ( Auteur à contacter de préférence , ) ^1, 2, Alban Gaignard (, ) ¹, Farooq Ahmad ², Christian Barillot () ², Bénédicte Batrancourt () ^3, 4, Michel Dojat ⁵, Bernard Gibaud () ², Pascal Girard ^5, 6, David Godard ⁷, Gilles Kassel () ⁸, Diane Lingrand (, ) ¹, Grégoire Malandain () ⁶, Johan Montagnat (, ) ¹, Mélanie Pélégrini-Issac ^4, 9, Xavier Pennec () ⁶, Javier Rojas Balderrama (, ) ¹, Bacem Wali ²

HealthGrid'10 (2010) 112-123

Résumé : Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data represen- tation and multi-layer data federation needs. Moreover, legacy neuroscience envi- ronments need to be preserved and cannot be simply superseded by grid services. This paper describes the NeuroLOG platform design and implementation, shed- ding light on its Data Management Layer. It addresses the integration of brain im- age files, associated relational metadata and neuroscience semantic data in a het- erogeneous distributed environment, integrating legacy data managers through a mediation layer.

1 : Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Université Nice Sophia Antipolis [UNS] – CNRS : UMR7271
2 : VISAGES : Vision Action et Gestion d'Informations en Santé (VISAGES)
INSERM : U746 – CNRS : UMR6074 – INRIA – Université de Rennes 1
3 : Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière (CRICM)
INSERM : U975 – Université Pierre et Marie Curie [UPMC] - Paris VI – CNRS : UMR7225
4 : Institut Fédératif de Recherche n°49 : Imagerie Neurofonctionnelle (IFR49)
Université Paris XI - Paris Sud
5 : Grenoble Institut des Neurosciences (GIN)
INSERM : U836 – Université Joseph Fourier - Grenoble I – CHU Grenoble – CEA : DSV/IRTSV
6 : ASCLEPIOS (INRIA Sophia Antipolis)
INRIA
7 : Visioscopie
Visioscopie
8 : Laboratoire Modélisation, Information et Systèmes (MIS)
Université de Picardie Jules Verne : EA4290
9 : Laboratoire d'Imagerie Fonctionnelle (LIF)
INSERM : U678 – IFR14 – IFR49 – Université Pierre et Marie Curie [UPMC] - Paris VI

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Contributeur : Johan Montagnat <>
Soumis le : Dimanche 11 Mars 2012, 21:09:02
Dernière modification le : Jeudi 22 Mars 2012, 10:54:04

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%% hal-00677815, version 1
%% http://hal.archives-ouvertes.fr/hal-00677815
@inproceedings{michel:hal-00677815,
    hal_id = {hal-00677815},
    url = {http://hal.archives-ouvertes.fr/hal-00677815},
    title = {{Grid-wide neuroimaging data federation in the context of the NeuroLOG project}},
    author = {Michel, Franck and Gaignard, Alban and Ahmad, Farooq and Barillot, Christian and Batrancourt, B{\'e}n{\'e}dicte and Dojat, Michel and Gibaud, Bernard and Girard, Pascal and Godard, David and Kassel, Gilles and Lingrand, Diane and Malandain, Gr{\'e}goire and Montagnat, Johan and P{\'e}l{\'e}grini-Issac, M{\'e}lanie and Pennec, Xavier and Rojas Balderrama, Javier and Wali, Bacem},
    abstract = {{Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data represen- tation and multi-layer data federation needs. Moreover, legacy neuroscience envi- ronments need to be preserved and cannot be simply superseded by grid services. This paper describes the NeuroLOG platform design and implementation, shed- ding light on its Data Management Layer. It addresses the integration of brain im- age files, associated relational metadata and neuroscience semantic data in a het- erogeneous distributed environment, integrating legacy data managers through a mediation layer.}},
    keywords = {Distributed Data Management ;Relational Data ; Semantic Data},
    language = {Anglais},
    affiliation = {Laboratoire d'Informatique, Signaux, et Syst{\`e}mes de Sophia-Antipolis (I3S) / Equipe MODALIS , VISAGES : Vision Action et Gestion d'Informations en Sant{\'e} - VISAGES , Centre de Recherche de l'Institut du Cerveau et de la Moelle {\'e}pini{\`e}re - CRICM , Institut F{\'e}d{\'e}ratif de Recherche n\degre49 : Imagerie Neurofonctionnelle - IFR49 , Grenoble Institut des Neurosciences - GIN , ASCLEPIOS - INRIA Sophia Antipolis , Visioscopie , Laboratoire Mod{\'e}lisation, Information et Syst{\`e}mes - MIS , Laboratoire d'Imagerie Fonctionnelle - LIF},
    booktitle = {{Proceedings of the HealthGrid}},
    pages = {112-123},
    address = {Paris, France},
    audience = {internationale },
    year = {2010},
    month = Jun,
    pdf = {http://hal.archives-ouvertes.fr/hal-00677815/PDF/healthgrid10.pdf},
}

%F hal-00677815, version 1
%0 Conference Proceedings
%U http://hal.archives-ouvertes.fr/hal-00677815
%2 INFO:INFO_DC
%T Grid-wide neuroimaging data federation in the context of the NeuroLOG project
%A Michel, Franck
%A Gaignard, Alban
%A Ahmad, Farooq
%A Barillot, Christian
%A Batrancourt, Bénédicte
%A Dojat, Michel
%A Gibaud, Bernard
%A Girard, Pascal
%A Godard, David
%A Kassel, Gilles
%A Lingrand, Diane
%A Malandain, Grégoire
%A Montagnat, Johan
%A Pélégrini-Issac, Mélanie
%A Pennec, Xavier
%A Rojas Balderrama, Javier
%A Wali, Bacem
%+ Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS , VISAGES : Vision Action et Gestion d'Informations en Santé - VISAGES , Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière - CRICM , Institut Fédératif de Recherche n°49 : Imagerie Neurofonctionnelle - IFR49 , Grenoble Institut des Neurosciences - GIN , ASCLEPIOS - INRIA Sophia Antipolis , Visioscopie , Laboratoire Modélisation, Information et Systèmes - MIS , Laboratoire d'Imagerie Fonctionnelle - LIF
%Z INSERM U836, équipe 5, Neuroimagerie fonctionnelle et perfusion cérébrale
%X Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data represen- tation and multi-layer data federation needs. Moreover, legacy neuroscience envi- ronments need to be preserved and cannot be simply superseded by grid services. This paper describes the NeuroLOG platform design and implementation, shed- ding light on its Data Management Layer. It addresses the integration of brain im- age files, associated relational metadata and neuroscience semantic data in a het- erogeneous distributed environment, integrating legacy data managers through a mediation layer.
%G Anglais
%2 2010-04
%B Proceedings of the HealthGrid
%2 internationale
%8 2010-06-00
%P 112-123
%B HealthGrid'10
%8 2010-06-28
%8 2010-06-30
%2 Paris
%2 France
%K Distributed Data Management ;Relational Data ; Semantic Data
%2 2437

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