Development of an Ontology for the INCF Neuroimaging Data Model (NIDM)

Abstract : The successful reuse of shared data relies on the existence of easily-available well-described metadata [1]. The metadata, as a rich description of the data, must capture information on how the data was acquired, processed and analyzed. The terms used to describe the data should be chosen with a logical, consistent framework in mind and include definitions to avoid ambiguity. In addition, a lexicon or ontology should reuse terms from existing efforts as much as possible [2].
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https://www.hal.inserm.fr/inserm-01932994
Contributor : Camille Maumet <>
Submitted on : Friday, November 23, 2018 - 2:40:29 PM
Last modification on : Monday, March 4, 2019 - 2:07:44 PM

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  • HAL Id : inserm-01932994, version 1

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Karl Helmer, Keator David, Tibor Auer, Satrajit Ghosh, Camille Maumet, et al.. Development of an Ontology for the INCF Neuroimaging Data Model (NIDM). OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Jun 2018, Singapore, Singapore. pp.1-2. ⟨inserm-01932994⟩

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