The overall food system nearly reached the next strategic inflection point. IoT technology, data sharing and consumers’ demand for sustainable production methods are pushing limits. More than ever, agricultural production needs to deploy knowledge intensive farming practices and increase data sharing. Existing data exchange platforms need to become open data exchange ecosystems managing data owners’ consent and facilitate dynamic collaboration of stakeholders. This shall increase productivity and reduce food loss and waste of the circular food system from Farm2Fork.
FIWARE open-source software and agri-food data models are a cornerstone to facilitate this development. New sources of data can be made accessible, while decreasing effort for aggregating, processing, providing, and accessing data. This session is presenting different practical examples for data usage at the farm site and of partners collaborating along the food supply chain towards consumers helping them to learn about their choices.
The session will also summarise challenges and opportunities of the future of connected agriculture. This is specifically considering a technological perspective. At the same time, you will have the opportunity to meet colleagues from different sectors and business domains, aiming at building the foundation of the future data economy for food systems. This will offer the opportunity to learn about synergies considering the close integration of agriculture in smart villages as well as advanced food production and delivery systems that are at the heart of smart cities.
Scaling API-first – The story of a global engineering organization
Sundmaeker-FGS-Wien-V04.pptx
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
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.
18. Vienna, 12-13 June, 2023 | #FIWARESummit www.fiware.org
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