INCF Neuroimaging Data Sharing

Neuroscience data, particularly those in neuroinformatics related areas such as neuroimaging and electrophysiology, are associated with a rich set of descriptive information often called metadata. For data archive, storage, sharing and re-use, metadata are of equal importance to primary data, as they define the methods and conditions of data acquisition (such as device characteristics, study/experiment protocol and parameters, behavioral paradigms, and subject/patient information), and statistical procedures. A further challenge for datasharing is the rapidly evolving nature of investigative methods and scientific applications.

The overall scope of this program is to develop generic standards and tools to facilitate the recording, sharing, and reporting of metadata. It is expected that these efforts will greatly improve upon current practices for archiving and sharing neuroscience data. This group is often refered to as NI-DASH or NIDASH. It has generated the neuroimaging data model called NI-DM.


License:Creative Commons License
Development Status:4 - Beta
Environment:Web Environment
Intended Audience:Developers
Natural Language:English
Pipelines and Workflows Supported:LONI Pipeline, NiPyPe


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Recent Activity

Document Activity

Main Folder documentation

Towards structured sharing of raw and derived neuroimaging data across existing resources. posted by David Kennedy on Jun 6, 2014

Document Activity

Main Folder documentation

Data sharing and publishing in the field of neuroimaging. posted by David Kennedy on Jun 6, 2014

Document Activity

Main Folder documentation

Data sharing in neuroimaging research. posted by David Kennedy on Jun 20, 2012

News Activity

Tool & Resource news

Subcommittee Meeting - Mar 25, 2011 - Edinburgh posted by David Kennedy on Mar 25, 2011