standards > model/format > DOI:10.25504/FAIRsharing.75nsn6
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ready Neuroimaging Data Model

Abbreviation: NIDM


General Information
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.

Homepage http://nidm.nidash.org/

Countries that developed this resource United States

Created in 2014

Taxonomic range

User-defined Tags





How to cite this record 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: May 30 2020 5:30 a.m.


This record is maintained by jbpoline  ORCID , satra  ORCID  and nicholsn  ORCID

Record updated: March 9, 2020, 8:52 a.m. by The FAIRsharing Team.

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Support

General

support email info@nidash.org
help http://nidm.nidash.org/getting-started/
online documentation https://github.com/incf-nidash
online documentation http://nidm.nidash.org/specs/
twitter @INCForg

Additional Information

Contact Nolan Nichols   ORCID

Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use





Publications

Towards structured sharing of raw and derived neuroimaging data across existing resources.

Keator DB,Helmer K,Steffener J,Turner JA,Van Erp TG,Gadde S,Ashish N,Burns GA,Nichols BN
Neuroimage 2013

View Paper (PubMed) View Publication

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

Models and Formats

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Implementing Databases (1)
NeuroVault
The purpose of this database is to collect and distribute statistical maps of the human brain. Such maps are acquired by scientist all around the world using brain imaging techniques such as MRI or PET in a combined effort to map the functions and structures of the brain.

Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer

Funds

Maintains

Grant Number(s)

  • 100309/Z/12/Z (The Wellcome Trust, UK)

  • NIH 1 U24 RR025736-01 (BIRN)

  • NIH 1 U24 U24 RR021992 (FBIRN)