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].
Type de document :
Communication dans un congrès
OHBM 2018 - 24th Annual Meeting of the Organization for Human Brain Mapping, Jun 2018, Singapore, Singapore. pp.1-2, 〈www.humanbrainmapping.org/OHBM2018/〉
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https://www.hal.inserm.fr/inserm-01932994
Contributeur : Camille Maumet <>
Soumis le : vendredi 23 novembre 2018 - 14:40:29
Dernière modification le : jeudi 29 novembre 2018 - 14:24:13

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Helmer_OHBM2018_NIDM-ontology....
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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, 〈www.humanbrainmapping.org/OHBM2018/〉. 〈inserm-01932994〉

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