Commit 5a40f227 authored by Cassandra Gould van Praag's avatar Cassandra Gould van Praag
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# WIN data sharing decision tree
***"A guide for researchers to follow in designing their study with a view to sharing their data on the WIN XNAT Open Data server."***
***A guide for researchers to follow in designing their study with a view to sharing data on the WIN XNAT Open Data server.***
This is the GitLab repository for the development (and possibly deployment) of the WIN data sharing decision tree.
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## The problem
*"Shared data should as open as possible and as closed as necessary"*.
***"Shared data should as open as possible and as closed as necessary"***.
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.
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![](../img/process-overview-key.png)
### Start and Stop
In each process there is a "start" point, and in some cases a hard "stop".
A "stop" is reached where the project has not achieved the mandatory stages as required by University policy or GDPR.
In each process there is a "start" point, and in some cases a hard "stop". A "stop" is reached where the project has not achieved the mandatory stages as required by University policy or GDPR.
### Navigating through the processes
Each process links to the next in the "Follow next process" box. Not all data types will follow all five steps sequentially; some project may skips as indicated by following the tree according to the answers given.
Each process links to the next in the "Go to next process" box. Not all data types will follow all five steps sequentially; some project may skips as indicated by following the tree according to the answers given.
### Recommended and mandatory steps
Each process has both "recommended" and "mandatory" steps. Mandatory steps fulfil your requirements according to University and GDPR. Following the recommended steps brings your project into alignment with the growing consensus for data sharing according to the [FAIR
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