@@ -12,7 +12,7 @@ This is the GitLab repository for the development and early consultation on the
Working out how to appropriately share data requires the navigation through various lines of guidance and legislation, notably GDPR. This is a complex process which is discipline and institutionally specific.
Individual researchers and Principle Investigators would benefit from a single resource which can be worked through to inform their decisions when preparing to share data.
Individual researchers and Principal Investigators would benefit from a single resource which can be worked through to inform their decisions when preparing to share data.
## The solution
We are developing a flow chart which researchers can walk through to address the question "Can I share my data on the [WIN XNAT Open Data server](https://cassgvp.github.io/WIN-Open-Neuroimaging-Community/docs/tools/data.html)?".
List of DICOM identifying fields that need to be scrubbed included in [McGill Centre for Integrative Neuroscience Open Science Guidance Open Science Data Preparation Checklist](http://loris.ca/MCINOpenScienceGuidance_DataPrepChecklist.pdf).
.json sidecar files are generated for each nifti image to conform with BIDS specification. These files contain essential metadata which describes the acquisition of the data. They may also contain potentially identifiable information relating to the participant which should not be distributed openly.
Quality control (QC) assessments should be completed as a matter of course for research data, and as a courtesy for those wishing to reuse your data. QC can be performed on BIDS formatted data using mriqc. Mriqc is available as a container on XNAT. *to-do: check if mriqc container already installed*
Consider using fsl\_deface. Other defacing tools are available.
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@@ -130,8 +132,8 @@ Consider running QC on defaced images using
<aname="upload"></a>
## Appendix 6 - Upload to XNAT
Relevant processes:
-[Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
TBD (not exhaustive)
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@@ -144,8 +146,8 @@ TBD (not exhaustive)
<aname="data-freeze"></a>
## Appendix 7 - Data freeze
Relevant processes:
-[Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
The data freeze process as applied for the Dementias Platform UK (DPUK) is computationally expensive -- multiple freeze generates duplicates of data. Alternative methods could be investigated (e.g. ZFS snapshots).
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@@ -154,8 +156,8 @@ Consider developing a cost model of the platform to indicate to researchers the
<aname="doi"></a>
## Appendix 8 - Digital object identifiers (DOI)
Relevant processes:
-[Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
A DOI is essential to ensure that the data shared can be effectively attributed to the authors via [FAIR
principles](https://www.go-fair.org/fair-principles/). Oxford Research Online (ORA) is the University's preference for
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@@ -174,8 +176,8 @@ Routes considered to address URL persistence:
<aname="dua"></a>
## Appendix 9 - Data usage agreement (DUA)
Relevant processes:
-[Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
> Relevant processes:
> - [Process 5 - Sharing and attribution](./decision-tree.md#process-5-sharing-and-attribution)
Research Services (<research.services@admin.ox.ac.uk>.) can provide template agreements for data sharing.