Skip to Main content Skip to Navigation
Conference papers

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].
Document type :
Conference papers
Complete list of metadata

Cited literature [3 references]  Display  Hide  Download
Contributor : Camille Maumet Connect in order to contact the contributor
Submitted on : Friday, November 23, 2018 - 2:40:29 PM
Last modification on : Friday, April 8, 2022 - 4:04:03 PM


Files produced by the author(s)


  • HAL Id : inserm-01932994, version 1


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⟩



Record views


Files downloads