|Number of classes:||161|
|Number of individuals:||38|
|Number of properties:||149|
|Maximum number of children:||36|
|Average number of children:||4|
|Classes with a single child:||6|
|Classes with more than 25 children:||1|
|Classes with no definition:||24|
|Description||NIDM-Results is a data model that enable sharing neuroimaging results using a common descriptive standard across neuroimaging software. NIDM-Results focuses on mass-univariate studies and is mostly targeted at fMRI but is also suitable for anatomical MRI (with Voxel-Based Morphometry), and Positron Emission Tomography (PET). NIDM-Results packs provide a lightweight solution to share maps generated by neuroimaging studies along with their metadata. Export to NIDM-Results is natively implemented in SPM, NeuroVault and CBRAIN and a Python library is ready for integration in FSL. NeuroVault additionally can import NIDM-Results packs.|
NIDM development team, email@example.com
Camille Maumet, firstname.lastname@example.org
|Submission||Release Date||Upload Date||Downloads|
|Recommendation version 2013-04-30 (Parsed, Indexed, Metrics, Annotator)||06/07/2016||06/07/2016||OWL | CSV | RDF/XML|
Neuroimaging Data Model
The Neuroimaging Data Model (NIDM) is a collection of...
The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication.