Dear BIDS community,
within the new data sharing inititative for PET, OpenNeuroPET, there is some funding available for improving the BIDS validator. OpenNeuroPET has been in contact with SquishyMedia who has proposed the attached strategy for refactoring of the BIDS validator in order to make it easier accessile and future proof. We have discussed this with the BIDS maintainer team and they think it's a good way to move forward.
But BIDS community what do you think?
You cna also contribute to this discussion on the GitHub for the validator: https://github.com/bids-standard/bids-validator/issues/1277
We are all colleagues working together to shape brain imaging for tomorrow, please be respectful, gracious, and patient with your fellow group members.
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I think answering these questions can be largely based on our assumptions on what and how SquishyMedia would work. I think a data model should be ingrained into the validator; however, (1) if the validator is written in a way which allows generalisation across data models, then I agree that these two can be developed in parallel. On the other hand, (2) if the validator is specialized to a particular (say, current) data model, then any future development on the data model would require rewriting of the validator.
Also, even if the validator is flexible (case 1), its development cannot be agnostic to some generic concept(s) of the data model (e.g. format, complexity); therefore, some input from the data model development is, indeed, required to the development of the validator. The question here is whether the data model development is already at the level when it can provide these inputs.
Auer, Tibor M.D. Ph.D.
School of Psychology, Faculty of Health and Medical Sciences
University of Surrey, Guildford GU2 7XH
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