This document discusses municipality data hubs and urban data platforms. It notes that municipalities are mostly in charge of owning and operating these platforms. The platforms bring together data from various sources like citizens, companies, government, and sensors. They aim to address issues like economic growth, public health, and more. While many envision supporting functions like apps and marketplaces, most platforms currently focus on basic data sharing. Significant potential remains to be unlocked through further development.
6. Academia
R @ D
Academia
R @ D
NGOsNGOs
Companies /
Startups
Companies /
Startups
CompaniesCompanies
Urban Data Platform
Operator / Data Trustee / Data & App Marketplace
Urban Data Platform
Operator
Data Trustee
Urban Data Platform
Operator
Data Trustee
Urban Data Platform
Operator
Data Trustee
Citizen (communities)
Companies /
Startups
IoT / customer
sensor data
data
Open data
source
Municipality
Datahub
Platforms &
Intermediairies
Citizen (communities)
Open data
source
Open data
source
BGOsBGOs
NGOs
Academia
R @ D
Sensors
Companies /
Startups
Municipality Platforms &
Intermediairies NGOs
Academia
R @ D
Policy Makers
6
9. 9
Who is the Platform Owner?
Who is the Platform Manager?
N = 66. Municipality is mostly in charge.
Municipality is the orchestrator in the development of the
UDP. It is responsible for the governance of the UDP,
it provides data and uses data from the UDP
Outsourcing of UDP development?
Municipality
Public-Private
Partnership
Private Partner
Other
Municipality
Public-Private
Partnership
Private Partner
Other
Yes
No
I don't know
10. N = 80, Frequency distribution
2,41
2,50
2,65
2,65
2,82
2,83
3,03
3,17
3,17
3,52
3,58
3,60
3,64
3,88
3,97
3,98
1 2 3 4 5
To fight poverty
Public Health
Reduce inequality
Liveability
Guarantee inclusion and diversity
Public Safety
Democracy
Facilitate economic growth
Resiliency of the city
Environmental sustainability
Citizen Engagement
Co-create city services
Entrepreneurship & Innovation
Privacy & data security
Cost-efficient & effective operations
Informed decision-making by policy makers
Mean and Standard Deviation
Slightly important Moderately important Very importantNot at all important
10
11. 11
0 10 20 30 40 50 60
Data available to users in Open Data Platform
APIs for platform services
Connect data users, app providers and data sources
Visualize data in a 3D digital twin of the city
Software Development Toolkit (SDKs) for App development
Connect buyers and sellers of data and Apps with catalogue
Allow trade on the platform through an app store
Price setting market mechanisms
Selling Apps with revenue share
Frequency Distribution
Envisioned to be supported by the platform Currently supported by the platform
N= 59. Considerable potential identified, which is yet to be exploited
12. N = 49. Mobility & Logistics is the dominant data sources and data users followed by Built environment and Energy
13
11
16
17
14
20
17
27
20
29
32
36
36
45
6
10
11
13
13
13
14
21
22
24
27
30
31
38
0 5 10 15 20 25 30 35 40 45 50
Telecommunications
Health(care)
Other
Human service ( e.g. permits)
Social Benefits
Economic Development
Public safety, Security and Emergency responses
Waste management
Education & Skills
Water & waste water management
Sport, Leisure, Culture & Tourism
Energy
Built environment
Mobility & logistics
12
13. restricts somewhat
restricts
neutral slightly
accelerates
accelerates
Other
Contractual complexities
Legislation
Cyber security risks
Procurement legislation
Privacy legislation
Data ethics and societal concerns
Digital literacy of end users
Cultural and social issues
Political commitment / sponsorship
Business Case
Private sector drive
Citizens’ actions and involvement
Subsidies, Grants
Open data standards & Protocols
Triple helix collaboration
Trust among the involved partners
13
14. 4,19
3,82
4,18
3,90
3,51
3,33
4,28
2,99
3,63
3,44
3,00
2,42
2,28
2,71
2,82
2,43 2,49
3,51
2,32
3,07
2,95 3,00
1
2
3
4
5
Cross silo/
organizational
collaboration
Cross silo
data quality
management
Data
governance
Change
management
and leadership
Enabling an
open
innovation
ecosystem
Innovation
process
management
skills
Data security Development
in short cycles
/ agile
approach
Learning by
doing
Risk
management:
processes and
tools
Other
Mean Importance Mean maturity
Slightly important
Moderately important
Very important
Extremely important
Not important
Poor
Average
Good
Excellent
Terrible
14
16. This presentation contains results from the EU Ruggedised project. This project has received funding from the European Union’s
Horizon 2020 research and innovation programme under grant agreement No 731198. The sole responsibility for the content of
this presentation lies with the author and does not necessarily reflect the opinion of the European Union.
Dr. Marcel van Oosterhout
Assistant executive director Erasmus Centre for Data Analytics
Rotterdam School of Management, Erasmus University Rotterdam
Email: moosterhout@rsm.nl
Web: www.eur.nl/data
Dr. Haydee Sheombar
Researcher
Rotterdam School of Management, Erasmus University Rotterdam
Email: Sheombar@rsm.nl
Julia Amelie Holst
Research Assistant
Rotterdam School of Management, Erasmus University Rotterdam
Email: holst@rsm.nl