Le jeu de données Evidoria
Everything published on this site is one reusable dataset: evaluated practices with rubric-based quality scores, study-design evidence strength, structured narratives, funding-instrument tags, regions and full provenance. This page is its stable description — what's in it, how it's versioned, how to get it, and how to cite it.
Ce qu'il contient
| Catalogue | Pratiques |
|---|---|
| AI in Education | 266 |
| AI in the Public Sector | 267 |
| City Innovation Library | 399 |
| Digital Inclusion | 610 |
| Gender Equality | 720 |
| PES & Nature-Based Solutions | 371 |
Accès
- Téléchargement CSV — one row per practice; add any Browse filter as query parameters.
- REST API — practices, evaluations (criterion-level), catalogues, ontology; paginated JSON.
- DCAT-AP — machine-readable catalogue description for open-data harvesters.
Versionnage
The corpus changes nightly (new practices, enrichment, curator review), so the dataset is date-versioned: the version above is the date of the last change to any published record. Cite the version you used; the CSV you download reflects exactly that day's corpus.
Licence
Dataset descriptions and structured metadata are available under CC BY 4.0 — reuse with attribution to “Evidoria — the Evidence Observatory, by C-NAPSE”. Source documents linked from practices remain under their publishers' terms.
Comment citer
C-NAPSE (2026). Evidoria — the Evidence Observatory (version 2026.07.26) [Jeu de données]. https://evidoria.eu/dataset/
A DOI for the dataset is pending; this page's URL is the stable identifier meanwhile. Machine-readable citation metadata ships in the repository (CITATION.cff) and in this page's schema.org markup.
Méthode et fiabilité
Scores follow one documented rubric method (methodology), including how our evidence ladder maps to the Maryland SMS, Nesta and EMMIE frameworks. Every record carries a validation level; an inter-rater reliability study of the rubric is on the research roadmap and will be linked here when published.