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Choose a medium-sized drive (1TB / 100 subjects is a rough guide). Make sure you have a back-up protocol for this drive.

2)

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Project data

Analysis data are automatically generated by the CSPM software, and so do not need to be backed up as carefully (or even at all). The software analyses the raw data, and saves the generated files in the Analysis data location.

Choose the largest space you have (3TB / 100 subjects is a rough guide). It is best to have a short path to this location, ideally a subfolder under the root folder of a drive. Choose one folder for each project, for example:

Z:\Analysis\Projects\TonicPain

V:\OSA2013project\

V:\IXIproject\

V:\OSApeds2015project\

3) Sets

It's best to choose another folder for the sets. This does not matter so much, and can be both project-specific or cross projects: For example:

V:\OSA2013sets\

Z:\Analysis\Sets\Kasia

V:\IXIsets\

or for a set with combined projects:

V:\OSA2013_IXIsets\

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4) LinuxShare: Data within Linux

LinuxShare is a folder "seen" in the Linux virtual machine and Windows, and is where files are swapped between the two operating systems. Choose something with a short path. It can be within the Analysis data space (I use V:\LinuxShare).

If you don't put this within Analysis data, choose a medium-sized drive (500+GB/100 subjects).

4) Physiology data

If you have physiology data, choose another location for the processed files. These will be larger than the raw data, but size will vary greatly according to the physiology recorded (which can range from ~10MB/subject to 2+GB/subject). These data include some manual processing, so they will not be replicable, and therefore this folder should also be backed up carefully.