DCAT-AP for Data Spaces

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Principiante

Descrizione del corso

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.

Pubblico di destinazione

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.

Obiettivi formativi

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.

Offerto da

Questo contenuto è offerto dalla Commissione Europea. La Commissione Europea è il braccio esecutivo politicamente indipendente dell'Unione Europea. È l'unico responsabile dell'elaborazione delle proposte di nuova legislazione europea e attua le decisioni del Parlamento europeo e del Consiglio dell'U