Data stories

Recycling is a key element of the European Union’s waste management policy. It aims to contribute to the realisation of a circular economy that maximises the extraction of high-quality resources from waste. The European Green Deal, which serves as the blueprint for a modern, resource-efficient and competitive economy, prioritises the transition towards sustainable practices. In pursuit of this goal, the waste framework directive serves as the primary legal framework for waste treatment and management in the EU. At the heart of EU waste management lies the waste hierarchy, consisting of five

European democracy is strengthened when citizens actively participate in political and civic life. The active involvement of Europe’s young citizens is especially important since the attitudes and opinions of young people foreshadow future trends and developments in society. But how are young people in Europe participating? Are they engaged in civil society? Data can be an essential element to understand what young people care about and how they are involved. International Youth Day took place on12 August, as an opportunity for governments to draw attention to youth issues worldwide. Following

This is part of a series of articles showcasing examples of high-value datasets from 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 law can

If you are a devoted reader of the data.europa.eu data stories, you have likely come across numerous inspiring examples of open data reuse. Each story illustrates what can be achieved by the best data science practices, by the amazing tools available to us today, and by incredibly effective and beautiful visualisations. Maybe you were also wondering how to create such visualisations yourself and develop these skills. For your data literacy and skills, you may already know about the significant effort data.europa.eu puts into curating the data.europa academy. But what about the tools

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

Introduction The Open Data Maturity (ODM) report provides an overview of the progress achieved by European countries as they push forward in creating the necessary conditions to make the most of open data. The concept of open data maturity in Europe is considered against four dimensions: quality, portal, policy, and impact. Open data portals are platforms that facilitate data access and reuse. These portals are the gateways for users to turn data into action. Improving the user experience on these portals is therefore key to encouraging data reuse and unlocking the potential of open data. This

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 see the article providing an overview of high-value datasets here. Only datasets specifically defined by law can

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