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NeuroJSON metadata pipeline
- 1. Mapping of neuroimaging datasets to a CouchDB database
- 2. BIDS-to-JSON conversion scheme
- 3. CouchDB view-based metadata extraction
- 4. Cross-database metadata aggregration
- 5. Metadata search engine
1. Mapping of neuroimaging datasets to a CouchDB database
To carry neuroimaging datasets in a CouchDB database, we use the following mapping schemes to convert the logical structure of datasets/dataset collections to the hierarchies provided by a CouchDB (databases, documents, attachments etc)
| Data logical structure | CouchDB object | Examples |
|---|---|---|
| a dataset collection | a CouchDB database | openneuro, dandi, openfnirs,... |
| a dataset | a CouchDB document | ds000001, ds000002, ... |
| files and folders related to a subject | JSON keys inside a document | sub-01, sub-1/anat/scan.tsv,... |
| human-readable binary content (small) | an attachment to a document | .png, .jpg, .pdf, ... |
| non-searchable binary content (large) | _DataLink_ JSON key | "_DataLink_":"http://url/to/ds/filehash.jbd" |
2. BIDS-to-JSON conversion scheme
3. CouchDB view-based metadata extraction
4. Cross-database metadata aggregration