- 44
- portals
- 714
- data products
- 16,919
- datasets analyzed
- 1,119
- potential use cases
The collection grows as more open data portals are added to the shared ecosystem. Join today!
Explore open data beyond datasets
We analyze selected open data catalogs from around the world and turn them into data products, use cases, relationships and AI-agent-ready resources.
- Real catalogs
- Based on public data from around the world
- Value perspective
- Products, use cases, graphs and insights
- AI-agent ready
- Structured, interoperable resources for tomorrow
44 trusted open data catalogs from around the world
Ajman Ajman
Bahrain Bahrain
Bologna Bologna
Basel-Stadt Basel-Stadt
Long Beach Long Beach
Northern Powergrid service area Northern Powergrid
United Kingdom UK Government Data
Switzerland opendata.swiss
Canada Open Government Canada
Australia data.gov.au
Argentina datos.gob.ar
Ireland data.gov.ie
Croatia data.gov.hr
Boston Analyze Boston
Vancouver Vancouver Open Data
Portugal Portugal SNS Transparency Portal
North West England Electricity North West
Paris Paris Open Data
Nantes Nantes Metropole
Rennes Rennes Metropole
Ile-de-France Ile-de-France Open Data
France SNCF Open Data
Paris Region RATP Open Data
France Open Data Reseaux Energies
Toulouse Toulouse Metropole
Strasbourg Strasbourg Open Data
France French Higher Education Open Data
France French Education Open Data
Pays de la Loire Pays de la Loire Open Data
Ontario Ontario Data Catalogue
British Columbia British Columbia Data Catalogue
Quebec Donnees Quebec
Uruguay Uruguay Open Data
Japan Japan data.go.jp
Global Humanitarian Data Exchange
London London Datastore
Chile Chile Datos Gob
Ukraine Ukraine Open Data
Romania Romania Open Data
Barcelona Barcelona Open Data
Malaga Malaga Open Data
Israel Israel Data Gov
Slovenia Slovenia OPSI
Latvia Latvia Open Data
Get your catalog to be included
Portfolio highlights
Leading value portfolios in the collection
A quick view of the portfolios that currently stand out across key dimensions.
Largest analyzed sample
Bologna
704
datasets analyzed
Largest processed dataset set in the current capped intake
Most data products
Bahrain
31
data products
Strongest product candidate portfolio so far
Most use cases identified
Bahrain
49
potential use cases
Broadest use-case coverage currently identified
Richest graph
Australia
992
relationship links
Most connected Value Graph in the collection
Explore Open Data Value Portfolios
Ajman Data Connections
Ajman EmirateAPI-based portfolio
Ajman
Transforms published datasets into data products, potential use cases, connected graphs and AI-agent-ready resources.
- 211
- Source datasets previewed
- 10
- Catalog domains
- 13
- Data products
- 13
- Preview use cases
Includes public Huwise API and Assistant
ExploreWhat you get
More than datasets
Each catalog analysis creates a comprehensive, interoperable resource collection for people and AI agents.
-
Value Catalog
Datasets reorganized around products, uses and relationships.
-
Data Products
Data products derived from available catalog evidence.
-
Use Cases
Potential applications showing how existing data might be used.
-
Value Graph
Connections between datasets, products, use cases, domains and publishers.
-
AI-Agent Resources
ODPS family and agent-first machine-readable files for direct consumption.
-
Analysis
Findings, gaps, opportunities and prioritized next actions.
Two experiences
One catalog for two audiences
The same catalog transformation provides a rich experience for people and a structured, AI-agent-ready resource collection for machines.
For people
Explore, understand and make decisions
- CatalogBrowse transformed datasets
- GraphExplore relationships
- AssistantAsk questions about the catalog
- AnalysisReview findings and opportunities
For machines
Consume and integrate
- ODPS / ODPC / ODPG / ODPVStandardized interoperable structures
- Agent-ready filesJSON, YAML and graph resources
- Structured metadataProducts, use cases and relationships
- Ready for AI workflowsUse in agents, applications and pipelines
AI Assistant
Ask your Value Portfolio
Get answers, discover data products and use cases, and explore relationships grounded in real open data from this portfolio.
- Ask in your own languageVoice or text, including Arabic
- Choose a perspectivePolicy, business, technical or general
- Grounded in this portfolioData products, use cases, relationships and more
- Go from question to actionExplore, compare and reuse
AI Assistant
EN
General
Policy
Business
Technical
Which datasets support real estate investment analysis?
The strongest combination includes transaction activity, mortgage data, real estate offices and district-level geographic data.
- 5 relevant datasets
- Related data products
- Potential use cases
- View in graph
Ask a question...
Speak or type in your preferred language, including Arabic
AI-native open data
Open data ready for AI agents
We provide structured, interoperable resources for AI agents, APIs and workflows, built from catalog metadata, datasets, data products, use cases and graph relationships.
- Support
data reuse - Enable
AI innovation - Built on
open standards
-
01
Catalog metadata
Structured and machine-readable information about datasets, publishers and domains.
-
02
Datasets
Normalized, enriched and linked across the ecosystem.
-
03
Data products
Published in ODPS-family formats with clear structure and reuse potential.
-
04
Use cases and graph
Explicit relationships between use cases, data products, datasets and organizations.
-
05
Agent-ready resources
Files ready for AI agents, APIs and automated workflows.
Discover
What can you explore?
Questions the platform can help everyday users, researchers, builders and innovators answer.
Which open data portals are most relevant for my topic?
Which data products could help me start faster?
What use cases already exist in this area?
Which places have the strongest data coverage?
What ready-to-use data packages can I download?
What can I ask the Assistant to help me explore?
People
Data
Solutions
A more open world
Where this is going
Towards a global open data value layer
Each catalog in this portal is analyzed independently, but transformed into the same interoperable structure. As more catalogs are added, this creates a new way to explore open data across organizations, cities and countries.
The long-term aim is to create a shared, machine-readable view of open data around the world, organized around value rather than portal boundaries.
What this makes possible
Which jurisdictions publish data for the same use case?
Which recurring data products appear across countries?
What datasets are commonly required for a particular outcome?
What open data resources could an AI agent use across several jurisdictions?
- 01TodayIndividual catalog analyses
- 02NextShared structures across catalogs
- 03Longer termGlobal Open Data Value Graph
FAQ
Frequently asked questions
Short answers about what the portfolios show, how they are generated and how another open data portal can be added.
What is an Open Data Value Portfolio?
It is a transformed view of an open data portal that organizes source datasets into data products, use cases, relationships, analysis and AI-agent-ready resources. The portfolio helps people move from a long dataset list to a clearer view of what the published data can enable.
Is this the same as the original open data catalog?
No. The source catalog remains the evidence base and the portfolio is a value-oriented layer built from that evidence. It does not replace the portal; it makes the portal easier to inspect through products, use cases, relationships and machine-readable outputs.
How do we get our open data portal added?
Contact Jarkko Moilanen to discuss adding your open data portal and creating an Open Data Value Portfolio for it. The starting point is usually a short review of your catalog API, metadata quality, languages, branding needs and intended audience.
What source data do you need?
The preferred input is public catalog metadata from a REST API such as Huwise or Opendatasoft. CSV exports can also be used when an API is not available, as long as the metadata describes datasets, publishers, domains, formats, update signals and access links well enough for analysis.
Are the data products official publications?
No. They are generated portfolio outputs for review and validation, based on the public evidence available in the source catalog. They should be treated as analysis outputs until the owning organization reviews, approves or publishes them through its own governance process.
Does each portfolio stay separate?
Yes. Each analyzed portal has its own workspace, route, files and Assistant grounding. Portfolios can be compared later through shared structures, but the source evidence, generated resources and Assistant context remain separated by portal.
Can the Assistant answer questions about every portal?
The Assistant is scoped to the portfolio the visitor is viewing, so answers are grounded in that portal's workspace and generated resources. This keeps answers from mixing Ajman, Bahrain or any other portfolio unless a cross-portfolio view is intentionally created.
Can the output support Arabic?
Yes. The productization plan supports language configuration and Arabic views where the portal package is configured for Arabic. Translation can use an LLM as part of the generation process, while the final wording should still be reviewed by the portfolio owner.
Can we influence the design of a generated portfolio?
Yes. Portal packages can include branding, CSS, language settings, source settings, LLM configuration and other options that affect the generated experience. The goal is for each portfolio to feel connected to its source organization while keeping the Open Data Value structure consistent.
What machine-readable outputs are produced?
The portfolio can expose structured graph, search, dataset, data product and standards-oriented resources so applications and AI agents can consume the outputs directly. These outputs make the portfolio useful beyond the web page, including agent grounding, integration workflows and downstream product development.