在城市数据化中“我认为质量比大量数据更重要”

IF 2.7 2区 文学 Q1 COMMUNICATION
Carl Chineme Okafor
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引用次数: 1

摘要

本文研究了在智能城市的数据化过程中,技术人员和治理人员如何做出将数据量与价值联系起来的决定。它的切入点是,数据化承诺使用数据使城市成为宜居的领域。这一承诺背后的城市预设了更多的数据产生价值,因此专注于详尽的数据化。但数据化似乎并非不言自明,技术人员和治理人员如何将数据量与数据价值联系起来的知识在媒体和传播文献中也很不清楚。本文使用访谈证据(n=6)、数据化政策文件(n=4)和位于挪威斯塔万格智能城市的数据化网站的开放数据门户中的各种城市活动数据集(n=299),并在关键数据研究的理论支持下,回答了这样一个问题:数据量如何与智能城市数据化中的数据价值联系起来?研究结果将数据质量作为建立这种联系的中介。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“I Think Quality is More Important Than a Lot of Data” in Cities Datafication
This article studies how the decision to connect data volumes to value is made by technologists and governance people in smart cities’ datafication process. Its entry point is that datafication promises to use data to make cities liveable domains. Cities on the back of this promise presuppose that more data produce value and therefore fixate on exhaustive datafication. But datafication does not appear self-evident, and knowledge of how technologists and governance people connect data volumes to data value is quite unclear in media and communication literature. Using evidence from interviews (n = 6), datafication policy documents (n = 4), and a diverse dataset of city activities (n = 299) in the open data portal of a situated datafication site, the Stavanger Smart City, Norway, and with the theoretical support of critical data studies, this article responds to the question: How does data volume connect to data value in smart cities datafication? Its findings put data quality as the intermediary that makes this connection.
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来源期刊
Media and Communication
Media and Communication COMMUNICATION-
CiteScore
5.80
自引率
3.20%
发文量
108
审稿时长
18 weeks
期刊介绍: Media and Communication (ISSN: 2183-2439) is an international open access journal dedicated to a wide variety of basic and applied research in communication and its related fields
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