@@ -32,4 +32,4 @@ For most of you the first option may be the only one available for institutional
* mount the `J:\` drive on your laptop/PC and use a local version of (e.g.) RStudio to load the data. If you are doing this you might want to learn about [drake](drake.md) so the data is only loaded over the network the first time you run your code, not each time.
*[get access to and use](https://git.soton.ac.uk/SERG/uosrstudioserver) the University's [RStudio server](https://rstudio.soton.ac.uk/)**<- best option**, this will let you run your code on the research filestore directly
As far as we know the University's `Research Filestore` does not allow direct access so it can only be used to archive data you are not actively using. See https://library.soton.ac.uk/researchdata/storage for more info.
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As far as we know the University's `Research Filestore` (AKA `\\xxx.files.soton.ac.uk\<SHARE>\`) does not allow direct access so it can only be used to archive data you are not actively using. See https://library.soton.ac.uk/researchdata/storage for more info.
