“Cities are in a race to get smart. Imagine a city where infrastructure and citizens are all interconnected by new technologies. Information about traffic, parking, energy use, city services, flooding, and much more is shared widely in open technology platforms. The possibilities are exciting: Smart Cities will collect and disseminate data in ways that should enhance quality of life, sustainability, and economic growth.” (1)

Interoperability and re-use of data is a concern when a sensor measure has been carried out differently from one city to an other. This is represented by the difficulty to select datasets. Although datasets are made available in open silos, one has to go through a long process of understanding associated metadata to ensure compatibility of measures.We know of the importance of relevant and comparable data to fully benefit from re-use of open data sources. Improving interoperability of data goes through the operational requirement of ensuring that a measure is conducted in the same way by everyone. Cities and sensor providers should consider the contextual and operational aspects of measures early in their process of planning smart projects. This will result in a comparable measures generated by sensors implemented across the city as well as across the citIES.

Statistical understanding of measures greatly improves by accessing datasets for similar measures generated by other cities. Decisions can be accelerated from analysis of greater arrays of data.



(1) excerpt of article by innovationmap.