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

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Smart City - Urban data a pivotal element in
digital communities
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Report Description

• This report explores the topic of smart cities
  from the perspective of the urban data generated
  by the citys 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.
• Read The Complete Report On http//www.bigmarket
  research.com/smart-city-urban-data-a-pivotal-eleme
  nt-in-digital-communities-market

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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
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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
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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
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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 To Get More
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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
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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
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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 Request
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