Completion phase - XNAT

Data cleaning is the process of detecting and removing corrupt or inaccurate images.

Quality control should begin before the actual images are uploaded and continue until the end of the data collection process. Images in XNAT are not editable. They can only be removed by the collection administrator, or flagged as "questionable" or "unusable for analysis".

Next step: Data extraction (export)

Back to: Completion Phase overview

Data extraction can be done at different time points during a study, on different subsets of images.

Image subsets can be downloaded from XNAT using different methods:

- the XNAT interface
- XNAT desktop client (desktop-client)
- scripting using REST API  (xnatpy)

Next step: Data storage

Back to: Data cleaning

When data is no longer being collected in XNAT and all outstanding queries have been resolved, then direct access to the study data is either no longer required or limited to occasional read only access

All study data will remain on the XNAT server and therefore there is no need for archival to disc or to another system. This could nevertheless be considered.

In the unlikely event that this policy is changed, it will be guaranteed that study data are provided to the PI of the study in an open file format (e.g. DICOM).

Back to:  Data Extraction (export)