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Smart City Market - Urban data: a pivotal element

Big Market Research presents a report on "Smart City Market - Urban data: a pivotal element in digital communities" Read The Complete Report On : http://www.bigmarketresearch.com/smart-city-urban-data-a-pivotal-element-in-digital-communities-market 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.

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Smart City Market - Urban data: a pivotal element

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

  2. 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. • Read The Complete Report On : http://www.bigmarketresearch.com/smart-city-urban-data-a-pivotal-element-in-digital-communities-market

  3. 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 monetisingdata Utilising and monetising urban data 3. The central issues surrounding urban data Issues surrounding urban data

  4. 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

  5. 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

  6. 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 Details Enquire @ http://www.bigmarketresearch.com/report-enquiry/178530

  7. 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

  8. 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

  9. 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 Discount @ http://www.bigmarketresearch.com/purchase-enquiry/178530

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