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Research Institutes of Sweden
(Lack of) data in the cities
European big data value forum
Helsinki, Oct 15th 2019
Claus Popp Larsen
Head of Connected Cities
Background
The vision about the smart city
https://youtu.be/3BDOR3ZjRiw
Created by RISE Connected Cities
2018
SwedenFinland
Data in the cities today
Open data Locked data ”IoT data”
Different formats.
May be inaccurate
or outdated data.
Locked for various reasons –
historical, technically,
practically, by a vendor.
May be open, shared or
locked-in. Low volumes,
increasing rapidly.
The majority of the services and solutions in the cities will be
datadriven tomorrow.
Who is going to own an control tomorrow’s data?
€
✓ Open data often has poor quality unless it is a byproduct of restricted data.
Lack of responsibility and accountability. Open data may need restrictions.
✓ Locked data has often high quality but is only meaningful for a specific
application. And it is not available.
✓ Sharing restricted data requires a centralized municipal data platform with
access control to become economicably viable (open data does not)
✓ Large scale data-driven innovation requires common standards
Open vs restricted data
Open data
Restricted data
Locked data
Shared data
✓ Today’s (analogue) processes can be
made more efficient
✓ Better understanding, better overview,
better decisions and planning
✓ Data from one place can be used
elsewhere – new types of services
from new types of actors
✓ Involving citizens in new completely
ways
The city as a platform for datadriven innovation
Almost everything is possible with today’s technology
✓ Data should be collected and made available in a structured way with open
standards
✓ The (Swedish/European) cities should agree on a common technical
framework (digital infrastructure)
✓ Requires collaboration within a city
✓ Requires collaboration between cities
✓ Will lead to organisational changes
✓ Open platforms will lead to ned relations with the city suppliers -
servicification
Data driven innovation in the cities
- How do we get there?
The cities must take control
over their data and make it
easy for others to contribute
with datadriven innovation
City as a Platform, CaaP
▪ Project within the Strategic Innovation
Program (SIP) Viable Cities
▪ Funded by Vinnova
▪ Alligned with European initiatives
▪ Project vision
By working with a minimum framework in a
structured and collaborate way it should be
possible to:
▪ share data within a city
▪ move data driven services between cities
Skellefteå
Umeå
Kalmar
Hudiksvall
Uppsala
Stockholm
Karlskrona
Malmö
Lund
Göteborg
Helsingborg
Halmstad
Ängelholm
Linköping
Sundsvall
Örebro
Eskilstuna
Västerås
How to find consensus around standardized interfaces that deal with
composition of the platform - without constraining innovation too much?
The principle of Pivotal Points of Interoperability (PPI)
From the IES-CityFramework_Version_1_0_20180930.pdf
Everything is
standardized:
innovation is
stifled
Nothing is
standardized:
non-interoperability
& integration issues
Minimum viable
framework for data/IoT
platform
API
Data models
Open shared platform
❑ Access control
❑ Ownership of data
❑ Security & integrity
❑ Market place
❑ New business models
❑ Storage
S S
S
Processing / Services
❑ Visualization
❑ Analysis
❑ Decision
❑ Etc.
Data layer
Data exchange layer
Application layer
Filmen
The majority of the services and solutions in the
cities will be datadriven tomorrow.
The cities must take control over their data!
✓ Take ownership of data – already in the procurement
✓ Make sure data has high quality and is up to date
✓ Do information classification (risks & consequences)
✓ Use standardized data models
✓ Make data available to third party over standardized API
✓ Responsibilities and service level agreements
No data, no AI !

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(Lack of) data in the cities

  • 1. Research Institutes of Sweden (Lack of) data in the cities European big data value forum Helsinki, Oct 15th 2019 Claus Popp Larsen Head of Connected Cities
  • 2. Background The vision about the smart city https://youtu.be/3BDOR3ZjRiw Created by RISE Connected Cities
  • 4. Data in the cities today Open data Locked data ”IoT data” Different formats. May be inaccurate or outdated data. Locked for various reasons – historical, technically, practically, by a vendor. May be open, shared or locked-in. Low volumes, increasing rapidly. The majority of the services and solutions in the cities will be datadriven tomorrow. Who is going to own an control tomorrow’s data? €
  • 5. ✓ Open data often has poor quality unless it is a byproduct of restricted data. Lack of responsibility and accountability. Open data may need restrictions. ✓ Locked data has often high quality but is only meaningful for a specific application. And it is not available. ✓ Sharing restricted data requires a centralized municipal data platform with access control to become economicably viable (open data does not) ✓ Large scale data-driven innovation requires common standards Open vs restricted data Open data Restricted data Locked data Shared data
  • 6. ✓ Today’s (analogue) processes can be made more efficient ✓ Better understanding, better overview, better decisions and planning ✓ Data from one place can be used elsewhere – new types of services from new types of actors ✓ Involving citizens in new completely ways The city as a platform for datadriven innovation Almost everything is possible with today’s technology
  • 7. ✓ Data should be collected and made available in a structured way with open standards ✓ The (Swedish/European) cities should agree on a common technical framework (digital infrastructure) ✓ Requires collaboration within a city ✓ Requires collaboration between cities ✓ Will lead to organisational changes ✓ Open platforms will lead to ned relations with the city suppliers - servicification Data driven innovation in the cities - How do we get there? The cities must take control over their data and make it easy for others to contribute with datadriven innovation
  • 8. City as a Platform, CaaP ▪ Project within the Strategic Innovation Program (SIP) Viable Cities ▪ Funded by Vinnova ▪ Alligned with European initiatives ▪ Project vision By working with a minimum framework in a structured and collaborate way it should be possible to: ▪ share data within a city ▪ move data driven services between cities Skellefteå Umeå Kalmar Hudiksvall Uppsala Stockholm Karlskrona Malmö Lund Göteborg Helsingborg Halmstad Ängelholm Linköping Sundsvall Örebro Eskilstuna Västerås
  • 9. How to find consensus around standardized interfaces that deal with composition of the platform - without constraining innovation too much? The principle of Pivotal Points of Interoperability (PPI) From the IES-CityFramework_Version_1_0_20180930.pdf Everything is standardized: innovation is stifled Nothing is standardized: non-interoperability & integration issues
  • 10. Minimum viable framework for data/IoT platform API Data models Open shared platform ❑ Access control ❑ Ownership of data ❑ Security & integrity ❑ Market place ❑ New business models ❑ Storage S S S Processing / Services ❑ Visualization ❑ Analysis ❑ Decision ❑ Etc. Data layer Data exchange layer Application layer Filmen
  • 11. The majority of the services and solutions in the cities will be datadriven tomorrow. The cities must take control over their data! ✓ Take ownership of data – already in the procurement ✓ Make sure data has high quality and is up to date ✓ Do information classification (risks & consequences) ✓ Use standardized data models ✓ Make data available to third party over standardized API ✓ Responsibilities and service level agreements No data, no AI !