2016
DOI: 10.2148/benv.42.3.457
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Improving the Veracity of Open and Real-Time Urban Data

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Cited by 28 publications
(18 citation statements)
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“…Another approach to improve representation includes weighting the sample of data against census totals or collecting more data from under-represented users (Mondschein 2015). Inclusion of high-quality metadata that describes the development and refining of any big data resource helps users address problems with bias (Mcardle and Kitchin 2016). Finally, provide ways for data users or consumers to share data cleaning and analysis methods, such as in an online forum (Mcardle and Kitchin 2016).…”
Section: Mitigating Bias In Passenger Vehicle Bicycling and Walkingmentioning
confidence: 99%
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“…Another approach to improve representation includes weighting the sample of data against census totals or collecting more data from under-represented users (Mondschein 2015). Inclusion of high-quality metadata that describes the development and refining of any big data resource helps users address problems with bias (Mcardle and Kitchin 2016). Finally, provide ways for data users or consumers to share data cleaning and analysis methods, such as in an online forum (Mcardle and Kitchin 2016).…”
Section: Mitigating Bias In Passenger Vehicle Bicycling and Walkingmentioning
confidence: 99%
“…Inclusion of high-quality metadata that describes the development and refining of any big data resource helps users address problems with bias (Mcardle and Kitchin 2016). Finally, provide ways for data users or consumers to share data cleaning and analysis methods, such as in an online forum (Mcardle and Kitchin 2016). Open access to methods for mitigating bias could be particularly helpful for new markets and applications of big data, where the users represent the subject matter experts for how the data should be interpreted and deployed in practice.…”
Section: Mitigating Bias In Passenger Vehicle Bicycling and Walkingmentioning
confidence: 99%
“…All types of data used within city dashboards have been relatively difficult to access until recently. The generation and use of personally identifiable information in big data, including those generated by smart city technologies [53][54][55], has been a subject of much concern. Access to data for public use was a significant issue in the building of the Triangulum City Dashboard.…”
Section: Scope Of the Data And Accessmentioning
confidence: 99%
“…Another approach to improve representation includes weighting the sample of data against census totals or collecting more data from under-represented users (Mondschein, 2015). Inclusion of high-quality metadata that describes the development and refining of any big data resource helps users address problems with bias (Mcardle & Kitchin, 2016). Finally, provide ways for data users or consumers to share data cleaning and analysis methods, such as in an online forum (Mcardle & Kitchin, 2016).…”
Section: Mitigating Bias In Passenger Vehicle Bicycling and Walkingmentioning
confidence: 99%