The document discusses the challenges and potential of the food system, emphasizing the importance of data spaces for innovation and improved governance in food systems. It highlights how common European data spaces can facilitate trustworthy data exchange, supporting a green transition and enabling new data-driven products and services. The need for monitoring and collaboration among stakeholders is also outlined, along with an invitation to a related event in Thessaloniki.

1. Vienna, Austria, 12-13 June, 2023
#FIWARESummit
From Data
to Value
OPEN SOURCE
OPEN STANDARDS
OPEN COMMUNITY
Data Spaces as Enablers for an Evolution
of the Data Economy for Food Systems
Harald Sundmaeker
ATB Institute for Applied Systems Technology Bremen GmbH

2. 2
Note: Examples of synergies are noted in green;
examples of trade-offs in red.
OECD; Making Better Policies for Food Systems; Jan 2021
https://doi.org/10.1787/ddfba4de-en
• The Food System is facing
diverse Challenges
• Food Security and healthy nutrition
• Resource Usage in time of climate change
• Assuring Livelihood & Rural Development
• Population growth causes an
increased global need for food
https://data4food2030.eu

3. The Food System
3
University of Oxford; What is the Food System?
https://www.futureoffood.ox.ac.uk/what-food-system
Production
Processing/
Packaging
Distribution
/
Retail
Consump-
tion
Waste
The
Food
System

4. The Food System
4
University of Oxford; What is the Food System?
https://www.futureoffood.ox.ac.uk/what-food-system
Complex System with
• Diverse influence factors
• Numerous stakeholders,
having an impact on handling
those factors
The data economy offers diverse
potentials for innovation and
system transition.

5. Monitoring of the Data Economy
• Monitoring the development, performance and
impact of the Data Economy for Food Systems
in terms of possible scenarios.
• Derive recommendations or possible solutions.
• Feedback to:
• Policy, to initiate adaptations
• Case studies and stakeholder networks to
test & evaluate
• Aiming to affect current state of play.
5
Mapping and Improving the Data Economy for Food Systems

6. Potential of Common European Data Spaces
• Common European data spaces
will allow data from across the EU,
both from the public sector and
businesses, to be exchanged in a
trustworthy manner and at a lower cost,
thereby boosting the development of
new data-driven products and services.
• Data spaces are composed of both
the secure technological infrastructure
and the governance mechanisms.
• Specifically agriculture related data spaces can contribute to a green transition.
• FIWARE open source is considered as basic enabler to realise the technical infrastructure for data spaces.
6
https://digital-strategy.ec.europa.eu/en/library/building-data-economy-brochure

7. What is a Data Space?
7
• A Data Space is an infrastructure that enables data transactions between different data ecosystem
parties based on the governance framework of that Data Space.
Data ecosystem
Party
Partner
(of a Data Space Initiative)
Data Space Initiative
Governance body
Data Space (Infrastructure)
Data Space Member
Data Spaces Support Centre, Starter Kit for Data Space Designers,
Version 1.0, March 2023

8. What is a Data Space?
A Data Space should be generic enough to support
the implementation of multiple use cases.
8
Data Space Initiative
Use Case A
Use Case B
Use Case C

9. Data Space
9
From Smart Solutions towards Data Spaces
From individual systems to integrated systems
 Sharing data between integrated systems is enabling the realisation of data spaces
Developing
smart
solutions
Smart Solution
Digital Twin
representation
Integrating systems
and data
within organisations
System 1
System 2
System 4
System 3
Digital Twin
representation
Sharing data
across organisations
Logistics
Farm
Retail
Cooperative
Digital Twin
representation

10. Data4Food2030 Case Studies
10

11. Complementary Case Studies
11
Different
Supply Chain
Scope
Data economy potentials
https://www.data4food2030.eu

12. Data Access vs. Business Models
12
• Case Studies differ regarding:
• Business Models
• Data Access Models
• Baseline for infrastructure
development and definition of
rules and practices for the data
space's governance,
management, and operations
• Governance is closely related to
the Business Model

13. DSSC Technical Building Blocks
13
• Building blocks can be considered as a kind of minimal interoperability mechanisms.
• What are potential synergies and what are differences between the case studies?

14. Technical Perspective
14
• Mapping of case studies with the
building blocks
• Input to discuss synergies with other
case studies and external partners
about:
• Common needs
• Joint initiatives
• Potentials to use FIWARE open source

15. Conclusions
• Monitoring helps to discover the data economy’s value in European food systems.
• Data spaces
• Enable an evolution from Data Exchange to Data Sharing
• Built the baseline for monetization or valorization of data beyond the organization’s borders
• Facilitate data altruism towards a green transformation.
• FIWARE open-source is an excellent enabler for building data spaces.
15

16. Agri-food Synergy Days
• Join us on 04.-05.10.2023 in Thessaloniki
• Great opportunity to collaborate on topics like
digital innovation, DIHs, data economy,
data spaces, and many more.
• Diverse stakeholders and projects will join.
• More information will be available soon
https://www.data4food2030.eu/
16

17. 17
Harald Sundmaeker
Vice-Chairman FIWARE Smart Agri-Food MSC
Data4Food2030 - Leader of WP3:
9 Case Studies on the Data Economy for Food Systems
ATB Institute for Applied Systems Technology Bremen GmbH
Sundmaeker@atb-bremen.de
https://www.data4food2030.eu
Funded by the European Union. Views and opinions expressed are however those of
the author only and do not necessarily reflect those of the European Union or
European Research Executive Agency. Neither the European Union nor the granting
authority can be held responsible for them.

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19. Vienna, Austria
12-13 June, 2023
#FIWARESummit
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