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Publication review

Publication review is how a private NEMAR dataset becomes a citable, public, archived resource. It’s an admin-mediated step; this page explains what the admin checks and what to expect once you click Request publication.

When a dataset is published, three things change:

  • Visibility. The dataset moves from private to public; anyone can find it on Discover.
  • DOI. A concept DOI is minted (via DataCite/Zenodo) so the dataset becomes citable. Each future version gets its own version DOI under the concept.
  • S3 lock. Files are written under S3 Object Lock so they can’t be tampered with after publication.

Publishing is irreversible by design, a published DOI cannot be retracted, only superseded. The confirmation dialog on the admin side requires typing PUBLISH for that reason.

  • BIDS validation. Must pass against the current BIDS schema.
  • Metadata completeness. dataset_description.json has Authors, License, and HowToAcknowledge populated.
  • HED tags (if present). Events are validated against the current Hierarchical Event Descriptor schema.
  • Modality consistency. The modality folders inside participants match what’s declared.

Most reviews land within 1-2 business days. Submissions that pass on the first try move through quickly; the slower ones are usually waiting on a metadata fix or a re-upload after an HED tagging issue.

A denial isn’t the end of the road. The admin sends a reason (which appears on your dashboard card and goes to your email). Address the feedback, re-upload if needed, and click Request publication again. There’s no penalty for multiple rounds.

The card shows Validation failed with a short error summary. The fix is almost always in your BIDS folder, not in NEMAR, the BIDS validator can reproduce the error locally. Fix, re-upload, and the badge clears on the next validation pass.

Once your dataset has a DOI, citations show up automatically in the citation dashboard as publications referencing it appear. NEMAR pulls citations from OpenAlex and DataCite Event Data.