警察数据透明度的最佳实践分析与可视化

Maria Clara Arango, Andrew P. Hogue, K. Williams
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引用次数: 0

摘要

让警察对其行为负责的能力取决于对不当行为相关数据的独立审查。本研究在美国其他城市的实践基础上,确定了信息和有用特征方面的差距,以构建警务数据收集和公共问责分析指南。我们主要关心的是获得关于警察活动的可操作和透明的数据,并确定记录做法,以作为夏洛茨维尔的榜样。突出的挑战包括寻找可用的数据,判断数据是否全面,以及数据集之间的不一致性,这些都阻碍了数据的加入,进而限制了有意义的数据分析。我们的导游还建议夏洛茨维尔在分析警务数据时考虑道德和方法方面的考虑。最后的指南包括:通过仪表板可视化与公众共享数据的建议,这是由多个城市的开放警务数据门户网站提供的;建议收集特征变量以进行有意义的分析;以及一个多城市概念验证数据仪表板。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analysis and Visualization of Best Practices for Police Data Transparency
The ability to hold police accountable for the actions of officers is contingent upon independent review of data surrounding misconduct. This research identifies gaps in information and useful features to build a guide for policing data collection and analysis for public accountability, based on the practices of other cities around the US. Our primary concern is to obtain actionable and transparent data on police activities and identify recording practices to serve Charlottesville as examples to follow. Prominent challenges include sourcing usable data, judging whether the data were comprehensive, and inconsistencies across datasets that prevented joining, and in turn, limited meaningful data analysis. Our guide also advises Charlottesville of the ethical and methodological considerations when analyzing policing data. The final guide includes: recommendations for sharing data with the public through dashboard visualization, which was informed by a multi-city scrub of open policing data portals; recommendations for feature variables to collect for meaningful analysis; and a multi-city proof-of-concept data dashboard.
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