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

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 representation and multi-layer data federation needs. Moreover, legacy neuroscience environments need to be preserved and cannot be simply superseded by grid services. This paper describes the NeuroLOG platform design and implementation, shedding light on its Data Management Layer. It addresses the integration of brain image files, associated relational metadata and neuroscience semantic data in a heterogeneous distributed environment, integrating legacy data managers through a mediation layer.
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Soumis le : mardi 31 août 2010 - 16:08:28
Dernière modification le : lundi 5 août 2019 - 09:30:06
Archivage à long terme le : mercredi 1 décembre 2010 - 02:53:07

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Franck Michel, Alban Gaignard, Farooq Ahmad, Christian Barillot, Bénédicte Batrancourt, et al.. Grid-wide neuroimaging data federation in the context of the NeuroLOG project.. HealthGrid'10, Jun 2010, Paris, France. pp.112-123, ⟨10.3233/978-1-60750-583-9-112⟩. ⟨inserm-00512799⟩

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