DCAT-AP for Data Spaces

Moins d'une heure

Débutant

Description du cours

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.

Public cible

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.

Objectifs d'apprentissage

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.

Offert par

Ce contenu est offert par la Commission européenne. La Commission européenne est le bras exécutif politiquement indépendant de l'Union européenne. Elle est seule chargée d'élaborer des propositions de nouvelle législation européenne et elle met en œuvre les décisions du Parlement européen et du Cons