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
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 Moreover, legacy neuroscience environments need to be preserved and cannot be simply superseded by grid services.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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