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Brainomics: Harnessing the CubicWeb semantic framework to manage large neuromaging genetics shared resources

Abstract : In neurosciences or psychiatry, large mul-ticentric population studies are being acquired and the corresponding data are made available to the acquisition partners or the scientific community. The massive, heterogeneous and complex data from genetics, imaging , demographics or scores rely on ontologies for their definition, sharing and access. These data must be efficiently queriable by the end user and the database operator. We present the tools based on the CubicWeb open-source framework that serve the data of the european projects IMAGEN and EU-AIMS.
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https://www.hal.inserm.fr/inserm-01145600
Contributor : Nathalie Duchange <>
Submitted on : Friday, April 24, 2015 - 4:36:25 PM
Last modification on : Monday, February 10, 2020 - 6:12:50 PM
Long-term archiving on: : Wednesday, April 19, 2017 - 5:59:26 AM

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David Goyard, Antoine Grigis, Dimitri Papadopoulos Orfanos, Michel Vittot, Vincent Frouin, et al.. Brainomics: Harnessing the CubicWeb semantic framework to manage large neuromaging genetics shared resources. Journées RITS 2015, Mar 2015, Dourdan, France. p34-35 Section imagerie génétique. ⟨inserm-01145600⟩

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