The directory brings together data publishers, APIs and AI guidance. Select sources by definition, coverage and reuse conditions, then test their usefulness.
Photo: Kari Shea / Unsplash · Context photograph; no affiliation with FDS is implied.
Choose by need, then compare evidence
Find territorial or sector datasets for analysis.
Integrate an API with access conditions and error recovery.
Prepare an AI use with evaluation, human review and provenance.
What to compare for each kind of work
Need
Questions to examine
Downloadable data
Licence, period, fields, coverage and update frequency.
API
Authentication, quotas, schema, pagination and service terms.
AI system
Use case, evaluation set, errors, human oversight and total cost.
Deliverables to request
Source record: publisher, definitions, coverage, licence and date.
Checks for completeness, consistency, duplicates and freshness.
Repeatable evaluation with difficult cases and an abstention procedure.
A catalogue guarantees neither access to every database nor rights for every use. Health data, personal data and quota-controlled feeds need specific checks with the publisher.
Is a public source always freely reusable?
Check the specific dataset’s licence, terms and restrictions. A catalogue entry and accessible documentation do not mean that all records are open or suitable for your purpose.
French Digital Society only publishes identifiable organisations and official resources. Inclusion is not a certification or ranking; check references, availability, legal information and contractual terms before appointing a provider.
59 resources shown
Institutional resource · France
Acceslibre
Collaborative database and API describing the accessibility of public-facing establishments for different disability needs.
Use it for: Find a venue’s accessibility information, then confirm specific requirements.
A directory entry is a starting point. Match the resource to a defined need, check the original source and compare approaches before committing a budget.
1. Describe the outcome
Write down the audience, the problem, the expected result and the deadline. A website redesign, a security review and a data project call for different evidence and skills.
2. Check the source
Open the organisation’s own site. Check its legal identity, the scope of its services, the date of its guidance and how to contact it. For public data, review the publisher, licence and update frequency.
3. Compare like with like
Ask providers about relevant work, delivery method, responsibilities, accessibility, handover and support. Compare proposals against the same brief and note what is excluded.
A public resource may help you learn or benchmark; a provider may carry out a mission. Inclusion here does not imply endorsement, affiliation or current availability. Read the expert selection guide for a fuller checklist.
Browse with context
What each directory category can help you do.
The filters group different types of resources. These notes explain the intended use and the checks to make before acting.
Choose this category when the need concerns a website, application, integration or long-term technical maintenance. Distinguish a delivery provider from a public guide explaining how to prepare the project.
Before you decide: Ask about ownership of the domain and code, accessibility checks, security updates, documentation and the support plan.
Use this category for brand messages, visual identity, editorial production and channels. A communication plan should name its audience and the action it is meant to support.
Before you decide: Compare examples of published work, approval steps, usage rights and how consistency will be maintained across formats.
Explore this category for infrastructure, connectivity, cybersecurity and operational support. Start with an inventory of essential services and who can access them.
Before you decide: Confirm response arrangements, backups, recovery responsibilities, subcontractors and the boundary between support and security advice.
Find public datasets, APIs and guidance for analysis or a controlled AI experiment. A catalogue entry describes a source; it does not automatically make the data suitable for a decision.
Before you decide: Check licence, update frequency, coverage, missing values, access conditions and whether a human can review consequential outputs.
Look here for search visibility, campaigns, email and measurement guidance. Begin with a target audience and a meaningful outcome before selecting a channel.
Before you decide: Ask which baseline will be used, how consent and tracking work, and who will maintain content after a campaign.
Use networks to discover organisations, training or support. An entry in a network is a lead for further checking, not proof of availability or quality.
Before you decide: Verify membership criteria where relevant, the person who will carry out the work and the terms of any proposed introduction.
The date records an automated availability check, not a guarantee of data freshness, service quality or eligibility. Some publishers block automated requests. For each dataset or API, check the actual licence, update date, coverage and access terms before reuse.