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A curated, automatically evaluated catalog of neuroscience ontologies, schemas, vocabularies and data standards. 62 resources across 11 domains, scored on FAIR principles, ontology quality and mainten
데이터JavaScript · CSSGitHub @tekrajchhetri온라인운영자 미확인
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1분 만에 확인하기A curated, automatically evaluated catalog of neuroscience ontologies, schemas, vocabularies and data standards. Every entry is scored against the FAIR principles, ontology quality, maintenance and community adoption, with the exact version evaluated and full provenance.
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README 전문 보기 ↗A curated catalog of neuroscience ontologies, schemas, vocabularies and data standards. Every entry is evaluated automatically against the FAIR principles, maintenance and community adoption, with a progressive inactivity penalty. Each run records the exact version evaluated and keeps full provenance. The site is fully static, with no runtime dependencies.
npm run dev # build + preview at http://localhost:4321 (PORT=3200 npm run dev for another port)
npm run build # build into dist/ (also validates the catalog)
npm run validate # structural checks: fields, ids, URLs, DOIs format, duplicates
npm run validate:online # + links resolve, DOIs exist in Crossref, OLS ids are real
npm run evaluate # run the evaluation → data/evaluation.json + data/runs/<run>.json
docker build -t neuroschema/oops docker/oops # OOPS! pitfall scanner, built from source
OOPS_IMAGE=neuroschema/oops ROBOT_JAR=robot.jar node scripts/quality.mjs # quality checks; CI runs this weekly
python3 scripts/pitfalls.py scan ontology.owl # Python pitfall scan (fallback when OOPS! can't run)
npm run rescore # recompute scores from stored facts after a rubric change (no network)
npm run quality:all # ROBOT, pitfalls and imports read from the file, for every ontology; resumable
Requires Node ≥ 18. There's nothing to npm install. Set GITHUB_TOKEN locally to avoid GitHub's 60 requests/hour limit when running npm run evaluate.
Score = max(0, 100 · (F + A + I + R + Q + M + U) / possible − P). Here possible is 100 for ontologies and 80 for everything else, because Q only applies to ontologies. Q checks NeuroSchema couldn't run (no retrievable file, file too large, tool timed out) are left out of possible too, and such grades are marked with *.
| Criterion | Max | Measures | |
|---|---|---|---|
| F | Findable | 12 | PID, number of portals/registries indexing it (incl. LOV), citable reference |
| A | Accessible | 12 | homepage, artefact over HTTP(S), metadata persists in any registry |
| I | Interoperable | 12 | formal format, semantic-web IRIs, imports other vocabularies |
| R | Reusable | 12 | open license, version declared inside the artefact, OBO principles pass rate or a FAIRsharing listing |
| Q | Ontology consistency & quality | 20 | logical consistency (10), OWL 2 DL, BFO/COB + RO, ROBOT report (OBO-style ontologies only), critical pitfalls |
| M | Maintenance | 16 | recency + releases in the last 12 months |
| U | Adoption | 16 | adopting projects, reuse by other ontologies, stars/citations |
| P | Penalties | −50 | inactivity (−4/year after 1 year, max −20; −10 if archived/legacy/OBO-inactive), inconsistent −20 (score capped at 54), critical pitfalls −3 each (max −12); unsatisfiable classes and ROBOT errors only cost Q points |
Grades: A ≥ 85, B ≥ 70, C ≥ 55, D ≥ 40, E < 40. The rules live in scripts/rubric.mjs.
Data sources:
scripts/quality.mjs in CI: ROBOT ELK reasoning and report for every ontology (the OBO Dashboard's results are shown for comparison), plus the OOPS! pitfall scannerVersions and provenance. Each run records the exact version evaluated: the version IRI/info in the artefact, or else the OLS version, release tag or commit. Every fact stores its source URL and retrieval time. Runs are archived, unchanged, in data/runs/, which feeds the per-entry history. Failed lookups carry forward the last good value, flagged.
Evaluation runs locally. Run
npm run refresh(orscripts/refresh.sh --push) to update scores: it pulls, runs the OOPS!/ROBOT quality checks in Docker, evaluates, rebuilds and commitsdata/evaluation.json,data/runs/anddata/quality/. Your local run is the only writer of those files, so they never conflict. GitHub Actions only handle submissions and their checks. SetGITHUB_TOKEN(or log in withgh) first.
| Path | What |
|---|---|
data/catalog.json | The curated catalog (edit via PR or the submission flow) |
data/catalog.schema.json | JSON Schema for entries |
data/categories.json | Domains |
data/evaluation.json | Latest evaluation (generated) |
data/runs/*.json | Archived run snapshots (generated, append-only) |
scripts/ | build, validate, evaluate, rubric, issue → entry, PR report |
src/assets/ | CSS, JS, logos, favicons, social image |
.github/ | issue form, PR template, workflows |
data/catalog.json..github/workflows/submission.yml) converts the issue into a pull request. It fills paper titles from Crossref and comments on the issue with the PR link, or with what needs fixing..github/workflows/ci.yml) runs on every PR. It validates the catalog and runs online checks for the changed entries: links, DOIs and OLS IDs. It runs a FAIR evaluation preview, then posts a summary as a PR comment and in the job summary.data/evaluation.json plus a new data/runs/ snapshot, and Vercel redeploys.BOT_TOKEN, a fine-grained personal access token for this repo with Contents, Pull requests and Issues set to read & write. PRs opened by the bot then trigger the Checks workflow; with only the built-in token, GitHub doesn't run workflows on bot-created PRs. The token also raises the GitHub API limit for evaluations. BIOPORTAL_API_KEY is optional.submission label (the issue form applies it).main: require pull requests, and require the "Checks / validate-and-build" status to pass before merging."repository" in site.config.json to the GitHub URL so the site links to the issue form.Import the repository. vercel.json already sets the build command and output directory. Then add neuroschema.org under Settings → Domains: an A record to 76.76.21.21 for the apex domain, and a CNAME record to cname.vercel-dns.com for www.
Every page has a canonical URL, Open Graph/Twitter cards and a JSON-LD @graph. The graph includes Organization, WebSite with SearchAction, BreadcrumbList, and, depending on the page, Dataset/DefinedTermSet, DataCatalog, ItemList or CollectionPage. The site also publishes sitemap.xml, robots.txt, a web manifest, catalog.jsonld (W3C DCAT), and per-entry PROV-O provenance in /o/<id>/entry.json.
The NeuroSchema code and site are licensed under the Apache License 2.0. Catalogued ontologies and schemas belong to their maintainers and keep their own licences, which are shown on each record.