DCAT-AP for Data Spaces

Menos de una hora

Principiante

Descripción del curso

This training aims to provide learners with a comprehensive understanding of DCAT-AP and its practical application in improving the findability and reusability of data within Data Spaces. The course is designed for individuals interested in Data Spaces, regardless of their prior knowledge of semantics or data cataloguing solutions. The course consists of five chapters that cover various aspects of DCAT-AP and its implementation.Throughout the course, learners will gain a clear understanding of how DCAT-AP can be leveraged to improve or build Data Spaces. The course aims to contribute to achieving data interoperability and driving innovation in the digital economy.

Público objetivo

This training material is designed for people from the respective Data Spaces’ domain, with an interest or exposure to Data Spaces but without prior knowledge of semantics or data cataloguing solutions.

Objetivos de aprendizaje

1. Understand the concept of DCAT-AP and its role in improving data findability and reusability within Data Spaces.2. Gain practical knowledge on applying DCAT-AP in managing Open Data.3. Recognize the benefits of using DCAT-AP in Data Spaces.4. Develop a technical understanding of the adoption process for DCAT-AP in Data Spaces.

Ofrecido por

Este contenido es ofrecido por la Comisión Europea. La Comisión Europea es el brazo ejecutivo políticamente independiente de la Unión Europea. Es el único responsable de elaborar propuestas de nueva legislación europea y ejecuta las decisiones del Parlamento Europeo y del Consejo de la Unión Europea