The Smart City projects continue to increase and evolve. The data sharing is at the juncture of business opportunities and technology advances. The smart cities can benefit from data sharing across various smart applications and segments. The smart cities will move to next level of value creation for citizens and local government when there will be sharing among cities and development of data exchanges and marketplaces.
There is growth in number of cities creating new Smart Cities applications and leveraging existing investments. The data will play a key role in realizing success. The Smart Cities infrastructure serves as an engine whereas data sharing platforms are the fuel that help in building new applications across city resources and citizen needs. Data sharing platforms are in their early stage but important for many emerging Smart Cities. The collection of data through IoT sensors and connected devices are creating a valuable city asset. It is serving as a catalyst for data to be integrated across many city resources.
Data Exchange Network Models
Data exchange architectures can incorporate centralized, distributed and decentralized approach depending upon the geographic differences, resiliency needs, and public/private data-sharing among cities.
- Centralized network model – This is a generalized big data approach that provides economies of scale for treatment of large-scale data. Here the collected data is mainly processed, analyzed, stored and shared in a core data center location.
- Distributed data model – The approach is efficient in a Smart Region as it helps to maximize sharing of geographically relevant data for macro-applications. Here the core data center is connected to many distributed sub-nodes to minimize the cost of transporting all data to a centralized location. It allows a higher degree of data management near the edge of the network.
- Decentralized network model – This is peer-to-peer content exchange arrangement where data sharing can take place with other cities, state or federal agencies.
Smart data from cities is siloed and fragmented
Due to rapid and continuous change in technology there is development of Smart cities which brings challenges for government & municipalities. The government organizations should become integrated, flexible, agile and innovation driven. There should be integrated & dedicated IT infrastructure with tools for gathering knowledge and smart data management. The IT and data should not be siloed. The data intelligence team will help to harness their value. The open and progressive environment with integrated systems and information will support innovation.
Connecting Commercial and Public Infrastructure
Internet of Things devices are a key component. The sensors embedded in IoT Devices help to gather data and analyses of this data gives relevant insights. Technology must be interoperable. Data should freely move between systems between public and commercial, with considerable attention to security and privacy concerns. The free exchange of data between commercial & public infrastructure of complex city system will help to gain real time insights thus minimizing accidents & unintended consequences.
Good data is open data with cities setting their own needs based local agenda
A smart city collects huge volumes of data. It should be analyzed quickly to gain useful customer insights. The data can be utilized for predictive analytics to identify future patterns of the citizens. The data should be open & accessible to businesses, universities, and citizens. This enables them to gain in-depth insight into the lived reality of the city.
Inspira Enterprise – The Leading IT Solutions Provider, offers comprehensive range of smart city solutions that can make life better in the Smart City. Inspira’s smart data exchange solution enables cities to deliver value to its citizens with socio & economic benefits.