Online trainings

Learning objectives

• Understand what the Core Vocabularies are
• Understand in what context the Core Vocabularies could be leveraged
• Understand the benefits of the Core Vocabularies
• Understand how to contribute to their development and reuse them

Learning objectives

• Understand what CPSV-AP is;
• Understand the benefits of using CPSV-AP as well as the concepts of interoperability and Linked Data;
• Read and interpret an RDF file and the different concepts that compose it;
• Read and interpret CPSV-AP specification;
• Structure basic public services according to CPSV-AP;
• be able to support the implementation of CPSV-AP

Learning objectives

• Understand the advantage and need of implementing BRegDCAT-AP
• Know where to find the specification
• Know tools and support that are available to help them in the implementation process.

Learning objectives

• Understand what metadata is and how it relates to DCAT
• Learn about the history and objectives of DCAT and DCAT-AP
• Understand the basic model of DCAT; See some examples of DCAT entities
• Understand the differences between DCAT, DCAT-AP and DCAT-AP-OP
• Know some of the issues addressed during the development of DCAT and DCAT-AP

Learning objectives

• Understand the concepts of Linked Data
• Know the vocabularies used in DCAT and DCAT-AP and how they are used
• Understand the way DCAT-AP defines mandatory, recommended and optional classes and properties
• See the controlled vocabularies used in DCAT-AP
• Look at some examples and guidelines

Learning objectives

• Understand extensions of DCAT-AP and how they retain conformance
• Know the influence that DCAT-AP has on the developments of DCAT
• Discuss possible solutions to functional issues

Learning objectives

• Know what an AI system is
• Understand the basic components of an AI system
• Understand the challenges related to data quality in the context of AI systems performance
• Understand the 4 interoperability layers of the EIF
• Know the basics on AI Act and EI Act
• Understand the basic aspects of AI supporting interoperability and apply them in their work

Learning objectives

• Understand the concept of data decentralisation and personal spaces - what SOLID is
• Understand its possibilities, opportunities and limitations
• Understand how SOLID could be implemented in a given context
• Understand how EU solutions could leverage SOLID

Learning objectives

• Pros and cons of using Wikibase/SMW for your dataspace
• Lessons learnt from projects already using Wikibase/SMW instances
• Practical know-how about setting up a new Wikibase/SMW from scratch
• What should be on Wikidata vs in a local Wikibase/SMW
• Comparison between Wikibase and SMW

Learning objectives

• The 3 levels of priorities in Web API design for Linked Data publishing
• The LDES and TREE specification
• How to implement LDES on top of your existing dataset

Learning objectives

• Understand how citizen generated data streams can be leveraged in public context
• Understand what’s in it for the citizen
• Understand how the challenge of protecting participating EU citizens' privacy and right to consent can be tackled
• Understand how SEMIC tackles semantic interoperability across the industrial sector and how it is applied to a proof-of-concept
• Understand the technology behind the proof-of-concept enabling secure and transparent data sharing