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

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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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Dates and versions

inserm-01932994 , version 1 (23-11-2018)

Identifiers

  • HAL Id : inserm-01932994 , version 1

Cite

Karl G Helmer, Keator B 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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