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Urban Sci., Volume 1, Issue 3 (September 2017)
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Cover Story (view full-size image) The cover image illustrates the spatial distribution of total bicycling journeys and the percentage [...] Read more. The cover image illustrates the spatial distribution of total bicycling journeys and the percentage of female cyclists across the city of Adelaide, Australia. This is part of a large national and longitudinal data on bicycling crowdsourced through a mobile phone application. Urban planners, researchers, and other interested users can openly and freely interact with this curated data collection, which enables varied queries it in terms of where and when the bicycling journeys were taken, by whom, and for what purpose. To realize the full potential of crowdsourced data in urban research and planning, this paper outlines the important tasks of formatting, cleaning, validating, anonymizing and publishing data. This paper demonstrates that research has a key role in building the bridge between data generation and data quality, ethics, and availability as we move to an era of open data and city analytics. View this paper.