Comments (5)
I created a small patch for you to test this out:
pip install --upgrade bidscoin[spec2niix2bids]@git+https://github.com/Donders-Institute/bidscoin@mrs_anon
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Yes, the anonymization option of bidscoin is about rounding of acquisition dates and age (see https://bidscoin.readthedocs.io/en/latest/options.html#spec2nii2bids-plugin). I myself never work with MRS data, so I wasn't even aware that spec2nii has an anon flag too. I agree with your filed spec2nii issue, it makes most sense to pass the anon flag during conversion time, but I'm happy to add it as a post-processing step if needed (that's quite simple too).
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Btw, as anonymization is gray zone, do you consider age (rounded in years), weight, size and sex to be personal health info that you would like to remove? These are scientifically useful metrics that in my view are not violating GDPR privacy policies.
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Hi Marcel,
Thanks so much for reacting so swiftly. @wtclarke has created the feature to pass anon at runtime now that'll make it into the next release.
The question of rounded age, weight, height and sex is really quite interesting. I agree that they are scientifically useful metrics, but one might argue that (in combination) they might be sufficient to identify an individual. I would probably not include them in the default removal process either, but as you say, it's a gray zone and things definitely differ between legislatures. (If I remember correctly, HIPAA considers rounded age only as PHI for individuals >89 years of age!).
Best,
Georg
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Great, I consider this issue closed then (you can use the anon branch until the new spec2nii version is out)
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