The Evidence Observatory
Evidoria turns scattered “good practice” reports into one comparable evidence base. Every practice is described consistently, scored against a transparent rubric, tagged on a shared knowledge map, geolocated, translated, and traced back to its original sources. The result is a question you can finally answer: what has actually worked, where, and how strong is the evidence?
Browse practices
How scoring works
How Evidoria is organised
Three layers, three different questions. They don't compete — each practice lives in exactly one catalogue, sits on the shared knowledge map, and can appear in any number of projects.
The knowledge map · what it's about
One shared, versioned scheme of pillars, themes and topics spans the whole observatory. Whatever catalogue a practice belongs to, it is tagged on the same map — so you can follow a topic across domains, and see honestly where evidence is still missing.
Explore the map
Catalogues · who stands behind it
A catalogue is a governed collection: an organisation or consortium curates it, evaluates it against its own rubric, and brands it. Catalogues answer for quality and provenance — they are containers of responsibility, not topics.
AI in Education · AI in the Public Sector · City Innovation Library · Digital Inclusion · Gender Equality · PES & Nature-Based Solutions
Evidence Explorations · why it's grouped
An exploration is a curated investigation: a cross-catalogue selection of existing practices assembled around a question, a proposal or an initiative. Explorations reference practices — they never copy them, and never change who evaluated what.
See the explorations
What you can do with it
Search and filter evaluated practices by subject, country, evidence strength and type — ranked by a comparable 0–100 quality score that is explained dimension by dimension.
Insights turns the corpus into intelligence: leaderboards of places, per-country evidence profiles, the coverage map of where evidence is thick or thin, and the practices most adopted across borders.
The copilot answers questions strictly from the evidence base, cites the practices it drew on, and abstains when the evidence isn't there — no invented answers.
See where practices happen and where they've been replicated, from local initiatives to transnational programmes.
Put practices side by side, share the comparison with a link, and export decision briefs as PDF for the meeting where it matters.
Stay current, build on it
Subscribe to email or RSS alerts for new practices matching your filters, pull everything through the open API, or embed live leaderboards and place profiles in your own site.
Everything is available in English, Portuguese, French and Spanish.
Who it's for
Researchers
A structured, citable corpus of evaluated practices with persistent identifiers and a defensible evaluation rubric.
Governments & cities
Discover proven, transferable initiatives and the evidence behind them before designing your own.
NGOs & networks
Showcase impact, find partners and learn from comparable interventions across countries.
Project consortiums
Give an EU-funded or research project a living, public home for its catalogue of results — multilingual and built to last beyond the grant.
Run your own catalogue
Evidoria is multi-catalogue by design. Each catalogue is an independent, branded space with its own evaluation rubric and languages — sharing the same trusted platform, the same knowledge map, and the same evidence standards. We can host an existing collection, import data from your spreadsheets, databases or website, or help you create a new catalogue for a future project or consortium.
The knowledge map shows where the gaps are — if your organisation works in an area where evidence is still thin, that is exactly where a new catalogue matters most.
See the coverage map ·
Partner with Evidoria
Who built it
Evidoria is developed by C-NAPSE as the evidence-observatory platform behind its research and innovation projects. One platform, one method, many domains — from city innovation to gender equality, employment services and AI in the public sector.
Contact C-NAPSE
Explore the API