Grid-wide neuroimaging data federation in the context of the NeuroLOG project.
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 Moreover, legacy neuroscience environments need to be preserved and cannot be simply superseded by grid services.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.
Michel
Franck
F
INSERM / INRIA / CNRS / Univ. Rennes 1, IRISA Unit-Project VISAGES, Paris, UK.
Gaignard
Alban
A
Ahmad
Farooq
F
Barillot
Christian
C
Batrancourt
Bénédicte
B
Dojat
Michel
M
Gibaud
Bernard
B
Girard
Pascal
P
Godard
David
D
Kassel
Gilles
G
Lingrand
Diane
D
Malandain
Grégoire
G
Montagnat
Johan
J
Pélégrini-Issac
Mélanie
M
Pennec
Xavier
X
Rojas Balderrama
Javier
J
Wali
Bacem
B
D003195:Computer Communication Networks; D007091:Image Processing, Computer-Assisted; D008491:Medical Informatics Applications; D009488:Neurosciences; D012985:Software Design; D014584:User-Computer Interface