DCAT-AP for Data Spaces

Less than an hour

Beginner

Course details

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.

Target audience

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.

Learning objectives

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.

Offered by

This content is offered by the European Commission. The European Commission is the European Union's politically independent executive arm. It is alone responsible for drawing up proposals for new European legislation, and it implements the decisions of the European Parliament and the Council of the European Union.