Product updates

 As of June 9, 2024, an EU directive requires public bodies to make freely accessible certain high-value datasets (HVD) in six categories: geospatial, environmental, meteorological, statistical, business, and mobility.🚀 To help you ensure your datasets comply with the directive, a new metadata template “DCAT-AP-High Value Datasets (HVD)” has been added to the platform. This template is an extension of the DCAT and DCAT-AP templates, allowing you to expose HVD metadata on national portals that reference your datasets.👉 To activate the new DCAT-AP-HVD metadata template and start entering new metadata:Go to your back office In the "Catalog" menu Click on "Metadata templates" Click on the "Interoperability" tab Activate the "DCAT-AP High Value Datasets (HVD)" template Access an existing dataset or create a new one In the "Information" tab of your dataset, begin filling out the metadata for this new template👉 To export your catalog with DCAT-AP-HVD metadata:Once completed, DCAT-AP-HVD metadata is available in the DCAT-AP-XXX (where XXX is a country) and DCAT catalog exports. To export your catalog with DCAT-AP-HVD metadata:Activate the DCAT-AP-HVD metadata template and fill out this metadata for specific datasets (following the steps above) Activate either the DCAT metadata template or the DCAT-AP-XXX template for your chosen country. If you choose the DCAT-AP-XXX model you will need to contact support to activate the corresponding export Export your catalog in the DCAT or DCAT-AP-XXX format. You will then find the HVD metadata you have filled out!Auto-translation 🪄Depuis le 9 juin 2024, une directive de l'UE impose aux organismes publics de rendre librement accessibles certains ensembles de données à haute valeur ajoutée (HVD) dans six catégories : géospatiales, environnementales, météorologiques, statistiques, commerciales et de mobilité.🚀 Pour vous aider à garantir la conformité de vos ensembles de données à la directive, un nouveau modèle de métadonnées « DCAT-AP-High Value Datasets (HVD) » a été ajouté à la plateforme. Ce modèle est une extension des modèles DCAT et DCAT-AP, vous permettant d'exposer les métadonnées HVD sur les portails nationaux qui référencent vos jeux de données.👉 Pour activer le nouveau modèle de métadonnées DCAT-AP-HVD et commencer à saisir de nouvelles métadonnées :Accédez à votre back-office Dans le menu « Catalogue » Cliquez sur « Modèles de métadonnées » Cliquez sur l'onglet « Interopérabilité » Activez le modèle « DCAT-AP High Value Datasets (HVD) » Accédez à un jeu de données existant ou créez-en un nouveau Dans l'onglet « Informations » de votre jeu de données, commencez à remplir les métadonnées de ce nouveau modèle👉 Pour exporter votre catalogue avec les métadonnées DCAT-AP-HVD :Une fois terminé, DCAT-AP-HVD

We have added two configuration options in the "datasets of datasets" to help you better manage your portal and improve its quality:         Option "Harvesters information": Easily identify the source you are harvesting datasets from, by viewing the following three columns: "Harvester UID," "Harvester Name," and "Harvester Type" (click here to learn more about harvesters 💡). Option "Processing status": Spot which datasets are being published and which have errors through the "Processing status" column.👉 To start exploring these new options:Go to your back office Click on "New dataset" In the "Configure a remote service" category, click on "Dataset of datasets" In the "Configuration" tab, check the "Harvesters information" and/or "Processing status" options Publish your dataset Click on "Explore" and quickly discover the new information that helps you improve the quality of your portal.

Unclear queries, spelling mistakes, unfamiliar portal-specific jargon: Don't let your users miss out on finding relevant data anymore, thanks to our new AI-powered search engine that goes beyond keyword matches.         👉 Learn more

Following the recent integration of the field-level view, allowing for a more detailed analysis of dependencies and errors between objects, the data lineage feature is now enriched with new information: the source of your datasets.     Comprehensive view of your data's journeyVisualizing the source of your datasets in lineage provides a deeper understanding of their journey, simplifying verifications.To start exploring:Go to your back office Select any dataset Click on the "Lineage" tab Discover the source of your dataset 

It's coming soon! Our teams have been working for several months on a new AI-powered semantic search engine (already tested and adopted by a few beta testers 🙌) aimed at enhancing the user experience on your portal. This innovative feature will enrich data discovery and help users find what they are looking for more easily.Here's some information before the official release. 👇  Why is this innovation important?Search is the central element of a successful data portal experience. Given the diversity of datasets and the specific terminology used to describe them, it is crucial to optimize search performance and improve the relevance of results to increase usage. Our semantic search allows users to quickly and intuitively find what they are looking for by expanding search beyond literal matches, providing results based on intent and the contextual meaning of search terms.Why does the new engine rely on AI?Our semantic search relies on AI to enhance its ability to understand the meaning and context of queries, broadening the scope of relevant results. By considering factors such as spelling mistakes, synonyms, and the contents of metadata, it will provide users with a more comprehensive, guided, and effective search experience.How can I deploy AI-powered search?We’ll update you by email and via the platform once the search engine is officially launched, explaining how you can integrate it into your portal. To learn moreCheck out our blog post on the subject or explore our Data Hub!

🔎 What is Parquet export?Parquet export is one of the fastest data storage formats to read and load. Its hybrid storage format (by column and by row) optimizes reading performance.  ✨ What are the advantages of the Parquet export format?Ultra-fast loading, ideal for large datasets Optimized storage, up to 7 times lighter than GeoJSON export Facilitated analysis, thanks to column organization Free and universal format, available in Open Source and compatible with a multitude of tools, including data science tools, Python, and the Opendatasoft Studio no-code via an extension.👉 Try out data export in the Parquet file format now!Head to your portal, or any Opendatasoft portal (including the Data Hub) Select a dataset Go to the “Export” tab Download the dataset in the Parquet format Start exploring the data  To learn moreDon't hesitate to read Opendatasoft or Parquet documentation.