Type of course:
Digital learning, Path
Language:
EN
Duration:
4 hours, 10 minutes
Workload:
6 hours
Proficiency:
Beginner
Target:
Professionals, Students
This course is officially recognised and labelled by the European Institute of Innovation and Technology (EIT). EIT Label is a quality mark awarded to programmes demonstrating outstanding innovation, educational excellence and societal impact.
The Learning Path belongs to Digital Transformation and Data topics and conducts the learner in the adoption of the International Data Spaces (IDS) Reference Model, at the theoretical and practical levels. The IDS Reference Model is an international specification developed to help share data in a coordinated and secure manner, all the while maintaining data sovereignty, meaning the owner should always have full control over the data they share.The main objective of this LP is to equip learners with the knowledge and skills required to navigate an increasingly adopted international specification, which IDS is. By understanding IDS principles, examples, and best practices presented throughout this LP, learners are able to reflect on their organization’s data-sharing mechanisms and implement new, internationally embraced methods to securely and efficiently exchange data.Throughout the learning process, the learner will start by identifying and understanding the foundational elements around the IDS Reference Model, followed by a practical sequence of steps that will instruct him/her to 1) build an IDS data space by deploying and customizing the central software components that will enable a trustful and secure data sharing ecosystem; 2) start publishing, searching, and consuming data in the IDS data space ecosystem and 3) know how to integrate existing business information systems into the data space ecosystem in order to allow interoperability with other information systems in a supply chain to support business transactions (e.g., production orders, products technical data, traceability of operations).
Learning outcomes
- After completing the learning module, learners are able to identify and internalize: the basic theoretical concepts defined by the IDS Reference Model to architect a dataspace ecosystem; its major software components; and their purpose and interactions.
- After completing the learning module, learners are able to build a dataspace ecosystem according to the IDS Reference Model and to deploy and configure, in a docker-based environment, the essential software components to develop an IDS ecosystem, allowing manufacturing organizations participating in a supply chain to exchange data (e.g. production orders, traceability data) in a peer to peer secure and trustful manner, whilst addressing the sovereignty of data owners by defining data usage policies and contracts.
- After completing the learning module, learners have the knowledge to manually and programmatically publish, search, and consume data in an IDS dataspace ecosystem and are able to integrate a business information system (e.g. ERP, MES) with an IDS Connector to improve digital communication with partners’ business information systems in a given supply chain environment.
LessonCreating and Managing an International Data Spaces Certificate Authority (CA)
Course Content
LessonInstalling and Using an International Data Spaces Dynamic Attribute Provisioning Service (DAPS)
Course Content
LessonCustomizing an International Data Spaces Dynamic Attribute Provisioning Service (DAPS)
Course Content
LessonInstalling and Configuring an International Data Spaces Broker
Course Content
LessonInstalling and Configuring an International Data Spaces Connector
Course Content
LessonInstalling and Configuring an International Data Spaces Connector Extension/App
Course Content
LessonProviding and Consuming Data in an IDS Dataspace
Course Content
LessonInternational Data Spaces Final Quiz
Course Content
Topics
Digital Transformation, Data mining
