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All data in the platform must adhere to these conventions to ensure that the platform works properly. As one example, the imaging pipelines (QC/QA/preprocessing) in XNAT rely on proper naming to be able to run. Naming conventions also lead to reproducible science, since data sharing is only practical when researchers are able to understand data collected by other researchers and other projects.
The following links describes our naming convention and is intended to be used as a reference for users.
Instructions for choosing a Project Label:
Instructions for choosing a Participant Label: