Smart City Market-stepping stones to urban data governance

Smart City -
Urban data: a
pivotal element
in digital
communities

Report Description
• This report explores the topic of smart cities from the perspective of the urban data
generated by the city’s various stakeholders: public and private sector players and
citizens. It inventories the different sources of urban data, and examines the issues
surrounding their collection, storage and processing.
• The report then looks at the different ways these data can be utilized and
monetized, and presents the main problems that have been identified by smart city
initiatives: business models, governance, citizen involvement.
• These different topics are described by drawing on multiple examples that have
been tested or deployed in different cities around the globe.
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Report Description
Slideshow contents
1. The smart city and urban data
The smart city
Urban data
Sources of urban data
Collecting urban data
Processing and storing urban data
2. Utilising and monetising data
Utilising and monetising urban data
3. The central issues surrounding urban data
Issues surrounding urban data

Table Of Content
1. Executive Summary
1.1. Mass production of urban data
1.2. Is it smart to pool urban data, and their collection?
1.3. The challenge of making urban data, open data
1.4. Do we need national governance for urban data?
2. Methodology & definitions
2.1. IDATE's general methodology
2.2. Methodology specific to this report
2.3. Definitions
3. The what and why of urban data

Table Of Content
4. The prospect of a huge surge in the production of urban data
4.1. Government and citizen data
4.2. Sensors and tags
4.2.1. Infrastructure sensors
4.2.2. Tags: RFID, NFC, QR code
4.3. Citizen-generated data
4.3.1. Personal sensors
4.3.2. Examples of citizen-generated data
4.4. External data
4.4.1. The Internet
4.4.2. Other possible sources of data

Table Of Content
5. Collection urban data: from juxtaposed to shared networks
5.1. Available networks
5.1.1. WPAN technologies
5.1.2. Ultra Wide-band (UWB)
5.1.3. Proprietary technologies
5.1.4. Cellular networks
5.2. The challenge of streamlining backhaul networks
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Table Of Content
6. Storage and processing: the heart of any urban data utilization project
6.1. The challenge of making urban data, open data
6.1.1. Open Data: first small forays
6.1.2. Open data specialists
6.2. Storing urban data
6.3. Processing urban data
6.3.1. Quality of the data and prior processing
6.3.2. APIs: automating data transfers
6.3.3. The emergence of big data
6.3.4. Visualization

Table Of Content
7. Putting urban data to work: complementary approaches in search of a winning
model
7.1. Private sector approach to utilising urban data
7.1.1. Developing businesses and creating new professions
7.1.2. New specialised players
7.1.3. How telcos and IT service companies are positioned in the market
7.2. Public approach
7.2.1. The city as decision-maker
7.2.2. The city as data manager
7.3. Public-private approach
7.4. Managing the ecosystem
7.4.1. Incubators
7.4.2. Living labs
7.4.3. Challenges, contests and other incentive measures

Table Of Content
8. Urban data: still a number of unknowns
8.1. Legal and regulatory framework governing data
8.1.1. Personal data
8.1.2. Data from public actors
8.1.3. Data from private actors
8.2. Standardising urban data
8.3. Business models
8.3.1. Expected benefits
8.3.2. Potential sources of financing
9. Conclusion: stepping stones to urban data governance
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