Webinar on 17 of May 2022. Experiences from the IRIS Lighthouse Cities. Urban Data Platforms are at the core of the digital transformation and the basis for data-driven solutions addressing the challenges of today’s cities and communities. An Urban Data Platform exploits modern digital technologies to bring together and integrate data flows within and across city systems and make data (re)sources accessible to participants in the cities’ ecosystem. The easy sharing of city data between city services, organizations, companies, and citizens provides many positive outcomes for society: • can help streamline urban mobility systems • deliver improved health and well-being outcomes • reduce energy consumption and support the use of local low-carbon energy • connecting city assets to enable more joined-up multi-purpose services and infrastructures

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This project has received funding from the European Union’s
Horizon 2020 research and innovation program under grant agreement No 774199
Webinar
Urban Data Platforms
Experiences from the IRIS LH Cities
May 17th, 14:00-15:30 CEST

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Agenda
14:00 Introduction – Panos Tsarchopoulos, CERTH-ITI
14:05 City Innovation Platform in Utrecht - Bas Vanmeulebrouk, CIVITY
14:20 City Innovation Platform in Métropole Nice Côte d’Azur - Stéphane
Roux, MNCA
14:35 City Innovation Platform in Gothenburg – Noel Alldritt, City of
Gothenburg
14:50 Panel Discussion
15:10 Q&A

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Lighthouse cities and partners :
Fellow cities and partners:
Gothenburg
Utrecht
Nice Côte d’Azur
Focsani
Alexandroupolis
Vaasa
Santa Cruz de Tenerife
IRIS Mission: Making urban environments
betterplacesforcitizensand the planet

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5 key
areas of
transition

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Urban Data Platforms
Urban Data Platforms are at the core of the digital transformation and
the basis for data-driven solutions addressing the challenges of cities
and communities.
• Bring together and integrate data flows within and across city systems
• Make data (re)sources accessible to participants in the cities’
ecosystem
• Facilitate easy sharing of city data between city services,
organisations, companies, and citizens

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Open Urban Data Platforms
An open urban platform is an urban platform that uses open standards and
interfaces to guarantee compatibility and interoperability with other systems
and other urban platforms (DIN SPEC 91357). Open urban data platforms
enable cities and communities to:
• Customise the platform according to their needs
• Avoid vendor lock-in & technology-debt
• Share data with third parties
• Connect services and data more easily, and
• Provide better digital services to their citizens at lesser costs.

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IRIS CityInnovationPlatform (CIP)
Building
Energy
Citizens
Environment
Mobility
City Innovation Platform City Innovation Platform City Innovation Platform
Interoperability
Open API
Open API
Integration
/
Reuse

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CityInnovationPlatform in Utrecht
Bas Vanmeulebrouk, CIVITY
bas@civity.nl

9. • Introduction
• Use cases City Innovation Platform
Utrecht
• Points of attention
Topics
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 2 of 14

10. Introduction
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 3 of 14

11. 5 transition tracks
IRIS Utrecht
1. Energy efficiency
2. Electrical busses, EV charging points
powered by solar energy
3. Car sharing and electrical busses
4. City Innovation Platform
5. Citizen involvement
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 4 of 14

12. From data provider to data user
Technical set-up City Innovation
Platform
1. Ingestion of proprietary data from various
sources
2. Harmonization of data using FIWARE Smart
Data Models
3. Publication of data using different API’s
4. Creation of apps, dashboards, maps etc.
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 5 of 14

13. Use cases
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 6 of 14

14. Legal/illegal use of EV charging stations
• FIWARE NGSI API to get information
from parking sensor
• OCPI API to harvest billing
information from EV charging station
“Laden zonder bord”
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 7 of 14

15. • Harvester to periodically download
information from smart streetlights
Smart street lighting
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 8 of 14

16. • Download information from Toon
smart thermostats from Amazon S3
bucket
• BeNext API to periodically download
energy production data
Energy consumption
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 9 of 14

17. Points of attention
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 10 of 14

18. • Compatibility with existing IT infrastructure
• No one stop shop
• Security aspects
Technical
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 11 of 14

19. • Competing standards
• Open standards do prevent lock in
• Trade-off between flexibility and too
much flexibility
Open standards
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 12 of 14

20. • Different stakeholders with
potentially competing interests
• Arrangements to get access to the
data
• Think about using and retaining data
before you start
Governance
IRIS Webinar 2022-05-17 City Innovation Platform in Utrecht Page 13 of 14

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CityInnovationPlatform in MétropoleNice
Côted’Azur
Stéphane Roux, MNCA

22. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 2 of 8
Presentation of the territory.
Some numbers:
• 51 Towns & villages
• 540 000 inhabitants with 341 000 in Nice
• 3 mutualized entities:
• Ville de Nice
• CCAS de Nice
• Métropole de Nice Côte d’Azur
• 13 000 public servants and 300 different trades
• IT : 124 employees

23. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 3 of 8
Strategy of a smart territory.
3 priorities: Smart, Safe and Green
Domains : Environment and sustainable development, Energy, Mobility,
Résilience, Safety, Well-being and Citizen engagement.
Double approach: Experiments on « Open Lab » with scaling study and up
and running solutions.
Technical solution: Territory data as fuel for collaborative development for innovative
services for the benefits of economic, academic, institutional actors and citizens.

24. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 4 of 8
Territorial data: a new heritage
Data
collection
Acquisition
Transportation
Aggregation
Storage
CONTEXTUALIZATION
STANDARDIZATION
DECISION
PREDICTION
CONSUMER
USER
DATA
SOURCES
VALUATION
Value-added
service
Marketplace
Economy

25. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 5 of 8
Smart territory strategy.
Provide a standardized multi-source and multi-
thematic territorial database at the heart of the
development of new services
Guarantee the quality and security of territorial data
and respect for privacy
Set up governance, processes and tools for
controlling and managing data with the various
businesses (cross-functional approach)
Engage in a sobriety and energy transition
strategy for the collection and data retention
Ensuring the sovereignty of metropolitan data of public
interest: data from the metropolis and its partners
Set up the governance of territorial data, define the contractual
rules and manage the partnerships with the actors of the
territory to collect and share the data

26. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 6 of 8
Industrialization of data flow management.
City Innovation Platform
Context Broker
IoT
Data injection
API NGSI
… …
Multi-protocoles
FTP
LoRaWAN
HTTP API
MQTT
Data
Transformation
(Data model)
• Sensor life cycle management
• New data flow integration
• High available and scalable architectures
• Agility and innovation with serverless architecture

27. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 7 of 8
Integrated SMART DESTINATION model in support of the sustainable
promotion of tourism products.
The project aims to establish a digital infrastructure communicating across
cross-border territories so that the user can have access to tourist information
on the other side of the border without changing the application and to the
companies to be able to develop cross-border tourist applications.

28. IRIS Webinar 17/05/2022 – Urban Data Platforms Page 8 of 8
Prevention and intelligent
warning of flood risk to
strengthen territorial response
capacities.
Image analysis
City
Innovation
Platform
NCA
H (level)
V (flow velocity)
Q (debit)
Rainfall radar
Weather
observations
Rain
gauge
Topography Aggregate Compute
Hypervisor
Alarms
Flow
forecast

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CityInnovationPlatform in Gothenburg
Noel Alldritt, City of Gothenburg

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Data producers Integration and Information platforms
Middleware
Data Broker
Programming
interfaces
(API & API-Management)
Data Warehouse
Business and data
consumers
Applications
City Information Platform / Urban Data Platforms / Data Spaces
Information and Data models
EU Digital
Agents/
Microservices
Decode and convert to
standard smart city
datamodell
Sensors, Connectivity
& IoT-Platforms
Authorities
Data from companies Data from citizens
Businesses and Citizens
The concept is simple

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Gothenburg and its challenges
25
administrations
37
companies with staff
53,600
employees, covering
more than 100
occupations
50
SEK billion in turnover
90%
of the budget is
allocated to
healthcare, welfare,
and education
846
politicians

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Technologies
Interoperability – The market is immature and moving quickly. Interoperability allows for a black box approach as well as
combining out of the box systems with highly customized existing systems. Interoperability needs to be a central strategy
as well as being supplier neutral. NGSI-LD is central in this respect. This is important not only externally but also internally.
IT Architecture – Use IT architecture to separate those who consume data from those who publish data. This allows old and
new systems to be combined. This is part of interoperability but a different perspective.
Horizontal/Vertical Integration – Quite often there is good vertical integration within a business area (e.g. transport,
healthcare, etc) but due to the fact that a city has many different business area the challenge can be how to achieve a
horizontal integration between the different areas. Be aware that the data models used in the vertical don’t have to be the
same in the horizontal. Think that interoperability must work in both directions (vertical/horizontal).
Open Source - This is a good way step in without being locked into an agreement with a supplier for several years. Should
an open source product not be up to the challenge it can be replaced without have to deal with legal issues and agreements.
Open Source requires competence and this might need to be procured. Open Source does not mean killing the market it
means procuring competence instead of a product. Quite often there are more companies willing to supply competence that
a product for a specific area so in some respects this will increase competition if dealt with correctly. This can be a strategy
to deal with a market or products that have not reached maturity or to share results with other cities.
Container Technology – Containers and Kubernetes is a great way to create reusable components and share them. This
can also offer the capability to host your own services (i.e. private cloud). This technology is central when it comes to
microservices such as Fiware. The capability to deal with this technology needs to be acquired and we can say from
experience this not an easy step.

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Onboarding process and governance
Information classification – To know how to share and have control over data then it needs to be classified. This is a starting point and nothing
can be done with the data until this process is completed for a data set. This has been a big problem with amongst other things BIM data as
ownership and classification has not been dealt with.
Data sovereignty – Data is the most important raw material – The big question being how to ensure that we own our data (content, format and
accessibility) and that the data is handled correctly. Are we locked into a supplier ecosystem and are the citizens data been dealt with in a
democratic way?
Federated solutions –Legal issues may require that data is separated and that the which may seem counter intuitive, but the access is through a
federated interface with well defined contracts. Containers can be a good way to achieve federated solutions.
IT Architecture and Competitive Tendering – Use IT architecture to create the prerequisites for competitive tendering of the various parts e.g. use
data brokers/middleware (e.g. Context Brokers) to separate those who consume data from those who publish data. Combined with Interoperability
this allows vendors to offer solutions to more cities as they know what to expect and in turn should increase competition and reduce lock in to a
small number of suppliers.
Business development – This is not an IT issue or a digitization issue. It's business development and someone will have to pay for the service and
the CIP. Bring people from the business with from the start, information classification, information owners and ensure the willingness to pay. Often
the driving factor is integration, use of sensors and future use of AI/BI.
AI / BI – Many cities wish to benefit from technologies like AI and BI but to do this a city needs a CIP/UDP to have control over the data.
EIF4SCC and Data Spaces – These initiatives as well as those that the IRIS have developed are well on their way to be policy so it can be good to
be aware of them and start talking about them internally.

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Standard data models
Standards – There are many standards on the market but the few that can be actively
developed and used to collaborate between the cities. Smart City Data models are a
good example of how this can be done and many initiatives like OASC, GAIA-X, mm
point to these.
Collaborate – Find other municipalities and organizations that are in the same phase
and interact with them. IRIS, Open and Agile Smart Cities, Living In EU (living-in.eu)
address many of the questions and challenges a city encounters with it’s CIP/UDP.

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Resources
IRIS Project Initiatives
https://showcase.irissmartcities.eu/digital-transformation/
IRIS Project Deliverables
• D4.2 Functional & technical requirements for integrated, interoperable and open solutions,
standards and new business models
• D4.3 Data Governance Plan
• D4.4 Technical solution reference architecture for CIP-components
• D4.5 Implementation and integration of core CIP components
Living-in.EU Technical Specifications
• Minimal Interoperability Mechanisms (MIMs)

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