This document provides an intuitive introduction and guide to the NIDASH Data Model for neuroimaging data sharing. NIDASH defines a core vocabulary that extends the PROV Data Model for provenance with terms that capture information about neuroimaging research, from data acquisition to analysis and results. This primer explains the fundamental NIDASH concepts and provides examples of its use. The primer is intended as a starting point for neuroimaging scientists or developers interested in using or creating apps with NIDM.

Overview

This section provides an overview of the NIDASH Family of Documents and suggestions to the neuroimaging community for implementing these standards to support data sharing activities, as well as in reporting issues or comments.

NIDASH Family of Documents

This document is part of the NIDASH Family of Documents, a set of documents defining various aspects of neuroimaging research that are necessary to achieve the vision of inter-operable interchange of information in heterogeneous environments such as the Web, research consortia, and laboratories. A list of current NIDASH documents and the latest revision of this specification can be found in the NIDM specification index. These documents are listed below.

Implementations Encouraged

The NIDASH Working Group encourages implementation of the specifications overviewed in this document. Work on this document by the NIDASH Working Group is ongoing, errors and suggestions may be reported in the issue tracker and these may be addressed in future revisions.

Please Send Comments

This document was published by the NIDASH Working Group as a Working Draft. If you wish to make comments regarding this document, please report using the NIDM issue tracker. You can also ask questions at Neurostars Q&A. All comments are welcome.

Introduction

Overview of the NIDM Dataset Descriptor Component

This section provides an explanation of ...

Summary

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Additional Information

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Acknowledgements

This document has been produced by the NIDASH Working Group, and its contents reflect extensive discussion within the Working Group as a whole.

Members of the NIDASH Working Group at the time of publication of this document were: