Data stories

Artificial Intelligence (AI) systems are complex mathematical models trained on data. These systems are designed to process and analyse large volumes of data with the purpose of recognising patterns and making predictions. AI systems are becoming increasingly accurate and sophisticated due, in part, to advances in the techniques and algorithms used for AI, access to greater computer processing power, and the wider availability of data. With these technological developments, the use of AI is becoming more common across sectors in Europe. Figure 1 shows how in 2021 the percentage of enterprises

This is part of a series of articles showcasing examples of high-value datasets from their different thematic categories. High-value datasets are defined by EU law based on their potential to provide essential benefits to society, the environment and the economy. This series aims to help readers find reliable and accurate information from official sources relating to the availability of various high-value datasets, and to present this information through data visualisation. You can check out the article providing an overview of high-value datasets. Only datasets specifically defined by law can

Benefits of (open) data sharing Open data is the most far-reaching approach of data sharing for at least three reasons. Firstly, while data sharing can also happen against remuneration, the concept of open data allows to make data freely available without restrictions. Secondly, access to and reuse of open data is granted to all: from public sector bodies to private companies, and individuals. Thirdly and most importantly, disseminating data as open data and enabling its reuse has the potential to generate benefits not only at societal level, but also for our economy. Open data is often first

This is part of a series of articles showcasing examples of high-value datasets from their different thematic categories. High-value datasets are defined by EU law based on their potential to provide essential benefits to society, the environment and the economy. This series aims to help readers find reliable and accurate information from official sources relating to the availability of various high-value datasets, and to present this information through data visualisation. You can check out the article providing an overview of high-value datasets. Only datasets specifically defined by law can

In December 2022, the eight annual Open Data Maturity (ODM) report was published with 35 participating countries across Europe (EU27 Member States, EFTA countries and candidate countries). The report aims to provide a better understanding of the level of open data maturity in these European countries, capture their progress over time, find areas for improvement, and benchmark countries´ performance against each other. This data story is the second of a series of data stories focused on the ODM report. While the goal of the first data story was to announce the publication of the report and

This is part of a series of articles showcasing examples of high-value datasets from their different thematic categories. High-value datasets are defined by EU law based on their potential to provide essential benefits to society, the environment and the economy. This series aims to help readers find reliable and accurate information from official sources relating to the availability of various high-value datasets, and to present this information through data visualisation. You can check out the article providing an overview of high-value datasets. Only datasets specifically defined by law can

Geospatial datasets as open data Geospatial datasets is information that contains specifications on properties that are linked to an exact point on Earth. Examples of geospatial datasets include satellite imagery, as well as census datasets tied to specific geographic areas (Open Data Maturity, 2022). Facilitating the discovery and access to open geospatial data sources is an essential goal for data.europa.eu. We will guide you through the importance of publishing geospatial datasets under an open license in view of the recently adopted high-value datasets implementing regulation, and with

Traditionally, public administrations are seen as suppliers of data. But in the recent paper ‘Measuring data demand within the public sector’, followed by data.europa webinar and blogpost, data.europa.eu has added a focus on the demand side – on the role of public sector as users of open data. This blog will continue this exploration by looking at a specific case of local government, zooming in the granularity of cities and regions: how do they use open data themselves, and how do they support data use by not only private but also public sector bodies? Why this focus on the local data supply

This is part of a series of articles showcasing examples of high-value datasets from their different thematic categories. High-value datasets are defined by EU law based on their potential to provide essential benefits to society, the environment and the economy. This series aims to help readers find reliable and accurate information from official sources relating to the availability of various high-value datasets, and to present this information through data visualisation. You can check out the article providing an overview of high-value datasets here. Only datasets specifically defined by

(Open) data and migration in Europe With millions of people moving across borders in search of new opportunities, stability and safety, the EU has put special efforts in developing regulation and data-driven policies that can help address the complex challenges of migration in a smart effective manner. One of the EU’s main strategies to establish more evidence-based policies is by leveraging the power of open data. By collecting and analysing open data on migratory trends, EU policymakers can gain deeper understanding of the underlying drivers of migration and the impact in the overall EU