Neuroimaging Data Model
Names
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Neuroimaging Data Model
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
NIDM
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Names
More detailed information about this field from each metasource.
Neuroimaging Data Model
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
NIDM
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Names
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Neuroimaging Data Model
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
NIDM
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.
Description
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The Neuroimaging Data Model (NIDM) is a collection of specification documents and examples that outline a domain specific extension to the W3C Provenance Data Model (PROV-DM) for the exchange and sharing of human brain imaging data. The goal of the data model is to capture data, information about the data and processes that generated the data (i.e. provenance). This information can be converted to RDF and therefore queried using SPARQL. This representation allows machine accessible representations of brain imaging data and will provide links to related resources such as publications, virtual machines, people and funding agencies.
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Webpage:
http://nidm.nidash.org/Webpage
More detailed information about this field from each metasource.
http://nidm.nidash.org/
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Publications:
Publications
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Towards structured sharing of raw and derived neuroimaging data across existing resources
PMID: 23727024
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Publications
More detailed information about this field from each metasource.
Towards structured sharing of raw and derived neuroimaging data across existing resources
PMID: 23727024
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
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Towards structured sharing of raw and derived neuroimaging data across existing resources
PubMed citations: 32.
32 articles citing: Towards structured sharing of raw and derived neuroimaging data across existing resources
Quantitative MRI Harmonization to Maximize Clinical Impact: The RIN-Neuroimaging Network. PMID:35493836
AT-NeuroEAE: A Joint Extraction Model of Events With Attributes for Research Sharing-Oriented Neuroimaging Provenance Construction. PMID:35321479
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). PMID:35224477
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. PMID:34846691
Preliminary Minimum Reporting Requirements for In-Vivo Neural Interface Research: I. Implantable Neural Interfaces. PMID:33997788
Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center. PMID:33935631
Data sharing and privacy issues in neuroimaging research: Opportunities, obstacles, challenges, and monsters under the bed. PMID:32621651
Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging. PMID:30792636
From Matrices to Knowledge: Using Semantic Networks to Annotate the Connectome. PMID:30581382
A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain Research: Design Study. PMID:29699962
Harmonization of cortical thickness measurements across scanners and sites. PMID:29155184
Extending XNAT Platform with an Incremental Semantic Framework. PMID:28912709
Neuroimaging, Genetics, and Clinical Data Sharing in Python Using the CubicWeb Framework. PMID:28360851
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. PMID:28232121
Sharing brain mapping statistical results with the neuroimaging data model. PMID:27922621
Exploring fMRI Results Space: 31 Variants of an fMRI Analysis in AFNI, FSL, and SPM. PMID:27458367
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. PMID:27326542
Terminology development towards harmonizing multiple clinical neuroimaging research repositories. PMID:26688838
NSDF: Neuroscience Simulation Data Format. PMID:26585711
Global Data Sharing in Alzheimer Disease Research. PMID:26523713
The Dark Matter of the Bibliome. PMID:26490570
The Function Biomedical Informatics Research Network Data Repository. PMID:26364863
Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community. PMID:26267019
NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain. PMID:25914639
The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke. PMID:25882753
A critical review of the neuroimaging literature on synesthesia. PMID:25873873
The rise of large-scale imaging studies in psychiatry. PMID:25793106
Making big data open: data sharing in neuroimaging. PMID:25349916
Application of advanced neuroimaging modalities in pediatric traumatic brain injury. PMID:24958007
Neuroinformatics challenges to the structural, connectomic, functional and electrophysiological multimodal imaging of human traumatic brain injury. PMID:24616696
Human neuroimaging as a "Big Data" science. PMID:24113873
Better living through transparency: improving the reproducibility of fMRI results through comprehensive methods reporting. PMID:23839069
Tags:
Tags
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brain
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
brain imaging
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
image
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
imaging
metasource: Fairsharing.org
version: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
Tags
More detailed information about this field from each metasource.
brain
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
brain imaging
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
image
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
imaging
metasource: Fairsharing.orgversion: FAIRsharing.org: NIDM; Neuroimaging Data Model; DOI: https://doi.org/10.25504/FAIRsharing.75nsn6; Last edited: March 12, 2020, 3:59 p.m.; Last accessed: Jan 03 2022 7:11 p.m.
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