Hi
With the authorization of the responsibles of the project, I published the file here [2]
It contains the names of one patient and his birth date so that probably wasn't a good idea. This file appears to contain CT scan results in a custom format? I can't view the scan itself as the software isn't packaged yet :) I was able to view the metadata though.
It's not about a real patient. It's an aquisition done especially for the tests of the software. The "patient" is in fact a developer of the framework, and you can find the informations that you saw in the .json in the source code of the software, on the googlecode repository [1]. So I don't think that there is any problem of confidentiality in this case.
Back to the original question of reducing the size of the data: You could unzip the file, remove all of the large .raw files and leave some small ones, modify root.json to remove the entries for .raw files you removed and then zip the file up again. I'm not sure if this would result in a valid file or not.
No, I can't do that because some unit tests could use .raw files, and I can't delete one of them without breaking the data file's integrity.
You could also do another scan at a much lower resolution if that is possible with the equipment you have.
Unfortunately, I haven't the required equipment to do that, and I'm not in charge to create new unit tests (based on potential new data). But it's true that it could be a great solution... Except that my problem for this unit test is the same for all the others unit test... I've more than 4GB of data, so in all cases, I will have a big data's quantity.
Anyway, I don't consider the size to be a big issue as long as you put the data in a second orig.tar.gz.
I guess that this new orig.tar.gz would be created by using uscan (if the link is added in d/watch) ?
Google Drive is very unfriendly to people who turn off JS, Cookies etc, next time please upload the file to somewhere else and link directly to the file download URL instead of indirect ways to find the file.
So I have to upload my data (4GB) somewhere where uscan could find it. But I've no idea about where upload it, given Github doesn't accept files bigger than 100MB. Have you any idea ? Thank you for your help Best regards, Corentin [1] https://code.google.com/p/fw4spl/source/browse/Bundles/LeafPatch/patchMedicalData/test/tu/src/PatchTest.cpp -- To UNSUBSCRIBE, email to debian-mentors-requ...@lists.debian.org with a subject of "unsubscribe". Trouble? Contact listmas...@lists.debian.org Archive: https://lists.debian.org/54806ce8.9090...@gmail.com
