Purpose & Scope
The course provides a detailed overview concerning the use of Data Spaces in agriculture, focusing on different topics:
- available initiatives,
- legal and ethical aspects, framework and building blocks,
- data sovereignty and interoperability,
- Data Act and
- business models.
The training is provided on demand.
If you want to get more information about the training, please get in touch with raffaele@dihdatalife.com
Learning objectives
In this course, participants will learn regulatory, business and technical foundation of a Data Space, with a focus on its different components.
Learning outcomes
- Gain a clear understanding of what a data space is ad how it works
- See user cases examples of data spaces
Who should attend?
EDIHs, innovators, agrifood companies, research organisations, and anyone interested in exploring the service portfolio of the agrifoodTEF Spanish node.
AI implementation
Data (data space / bigdata)
ELSA
Ethics
Software / AI model
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
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