Per Category
This chart shows the high-value datasets (HVD) organised by categories in accordance with Commission Implementing Regulation (EU) 2023/136. To focus on one category or country, select it from the drop-down menu. After focussing on one category, you can choose one of the subcategories in that category. Click on any category or subcategory bar to access the corresponding catalogue list of datasets.
Per Country
This chart shows the high-value datasets (HVD) organised by country. To focus on one category or sub-category, select it from the drop-down menu. Click on any country bar to explore its list of high-value datasets of that country.
Metadata Quality
The chart shows the classification of high-value datasets (HVD) metadata quality for the datasets harvested by the European Data Portal.
Data Format
This chart shows the available dataset formats for high-value datasets (HVD). You can select a country, a category, and a subcategory once a category is selected. Note that the top-level category view includes only datasets explicitly tagged with that category, not all datasets within its subcategories. After making your selections, click on any available format to view the list of high-value datasets in that format.
Overview
This chart shows the high-value datasets (HVD) per country and the catalogues in which they can be found.
High-value datasets data stories
This series of data stories is intended to bring attention to the European Union's (EU) high-value datasets, and to demonstrate how they can be used to inform public discussions of relevant issues. Each story is paired with a visualisation note, an article that introduces readers to the language of data visualisation.
Skip results of view Latest publications
Explore popular High-value datasets
This series of data stories is intended to bring attention to the European Union's (EU) high-value datasets (HVD), and to demonstrate how they can be used to inform public discussions of relevant issues. Each story is paired with a visualisation note, an article that introduces readers to the language of data visualisation.