Document
NOT PEER REVIEWED
Policy document
NIDM-Results
Published 13 May 2020
(https://doi.org/10.7490/f1000research.1117859.1)
Author Affiliations
Copyright © 2020 Martone M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Published 13 May 2020
Policy document
NIDM-Results
[version 1; not peer reviewed]Author Affiliations
Abstract
Competing Interests
No competing interests were disclosed
Keywords
neuroimaging data model, fMRI, anatomical MRI, PET, EEG, MEG, NIDM, neuroimaging, univariate analysis
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- it provides a way to make sure that the results of mass-univariate results are share with sufficient additional information as to make more sense of them.
- it is VERY easy to use: with SPM and neurovault, results and their metadata can be packaged and shared in a matter of minutes
- it can also prove to be useful to routinely share results with the model specification (design matrix) of subject level analysis within a lab as a project progresses. This can be very useful for different members of a project to veiw results and know how they were obtained.
I usually try to make sure that my publications have an NIDM-results attached to them even if the main focus is not a mass univariate analysis, as one never knows who could find some use for those.
https://identifiers.org/neurovault.collection:4172
https://identifiers.org/neurovault.collection:5209
I am currently working to make sure that the BIDS compatible SPM pipeline of our lab will automatically output NIDM results to further remove more of the overhead:
https://github.com/cpp-lln-lab/CPP_SPM/blob/1530a1642a5213e0657646690b80a0c6f3a51cd9/src/workflows/bidsResults.m#L114
- it provides a way to make sure that the results of mass-univariate results are share with sufficient additional information as to make... READ MORE
- it provides a way to make sure that the results of mass-univariate results are share with sufficient additional information as to make more sense of them.
- it is VERY easy to use: with SPM and neurovault, results and their metadata can be packaged and shared in a matter of minutes
- it can also prove to be useful to routinely share results with the model specification (design matrix) of subject level analysis within a lab as a project progresses. This can be very useful for different members of a project to veiw results and know how they were obtained.
I usually try to make sure that my publications have an NIDM-results attached to them even if the main focus is not a mass univariate analysis, as one never knows who could find some use for those.
https://identifiers.org/neurovault.collection:4172
https://identifiers.org/neurovault.collection:5209
I am currently working to make sure that the BIDS compatible SPM pipeline of our lab will automatically output NIDM results to further remove more of the overhead:
https://github.com/cpp-lln-lab/CPP_SPM/blob/1530a1642a5213e0657646690b80a0c6f3a51cd9/src/workflows/bidsResults.m#L114 READ LESS
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