Data visualization makes data easier to understand. It aids communication (to the public) and decision-making (at governance level). Data transparency not only involves making the data public. It is necessary to provide visualizations that help citizens understand the policies that are applied and their results.
DT4REGIONs and Living-in.eu initiatives under the lead of ENoLL within WP4, with the support of the Computer Vision Center, have organized the Webinar on Data Spaces for Digital Transition “Data Spaces for Digital Transition: Enabling data creation, access and valorisation for EU Regions”. With the aim to explore the integration of AI into Digital & Data Spaces for European cities and regions.
The Blueprint is a consistent and comprehensive set of guidelines to support the development cycle of data spaces. In the blueprint, you can find the conceptual model of data space, data space building blocks, and the recommended selection of standards, specifications and reference implementations identified in the data spaces standards and technologies landscape.
This webinar is hosted by the data.europa academy and builds on the data.europa.eu discussion paper “Measuring data demand within the public sector”. This webinar provides an introduction to data re-use by public institutions (e.g. to develop new public services) and the importance of engaging with and measuring data demand by this specific group of users. Expert speakers from practice and academia present best practices of assessing this demand and reflect on the impact on open data supply. Learning objectives:
Before the Data Act starts applying from 12 September 2025, the European Commission will recommend model contractual terms for data access and use and standard contractual clauses for cloud computing. The Commission has set up an Expert Group to develop these models, which will form the basis for the Commission Recommendation in 2025.
Before the Data Act starts applying from 12 September 2025, the European Commission will recommend model contractual terms for data access and use and standard contractual clauses for cloud computing. The Commission has set up an Expert Group to develop these models, which will form the basis for the Commission Recommendation in 2025.
Regardless of what data are used for, their quality is always of central importance. High-quality data and metadata are the essential basis for beneficial results, the functioning of business processes and informed decision making. During this training session, hosted by the data.europa academy, we will answer and discuss amongst others:
• What is data and metadata quality?
• How is metadata quality measured in data.europa.eu?
• How to use the “Data.europa.eu Data Quality Guidelines”, published by the Publications Office of the European Union?
The conceptual model of data spaces provides a set of well-defined concepts, and relationships between them, as well as a set of terms to refer to them. By relying on the conceptual model, the authors of the data spaces blueprint and the broader community of practice can clearly express data space related topics.
Urbanization and the growth of human population are leading to increased complexities in the interactions of citizens with public spaces, creating cities that must be more responsive to community dynamics. Despite the critical need for community-based city management, current decision-making approaches are often uninformed by the collective behavior of communities across time and in different locations.
Learn how citizen's co-creation is key in making cities worldwide more sustainable.
Around the world, major challenges of our time such as population growth and climate change are being addressed in cities. Here, citizens play an important role amidst governments, companies, NGOs and researchers in creating social, technological and political innovations for achieving sustainability.
