@inproceedings{c6b057f16aec453098dcd96b741f2406,
title = "Towards a Critical Data Quality Analysis of Open Arrest Record Datasets",
abstract = "This short paper presents early results from a data quality analysis of an open arrest record dataset from the Los Angeles Police Department. We use data quality metrics from a framework for the evaluation of open government data. We present our results, along with critiques and discussion of the metrics, and describe an ongoing project to analyze the data quality of police arrest datasets and connect data quality to critical accounts of information systems.",
keywords = "Critical Information Studies, Data Quality, Open Government Data",
author = "Wickett, {Karen M.} and Jarrett Newman",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 19th International Conference on Wisdom, Well-Being, Win-Win, iConference 2024 ; Conference date: 15-04-2024 Through 26-04-2024",
year = "2024",
doi = "10.1007/978-3-031-57867-0_23",
language = "English (US)",
isbn = "9783031578663",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "311--318",
editor = "Isaac Sserwanga and Hideo Joho and Jie Ma and Preben Hansen and Dan Wu and Masanori Koizumi and Gilliland, {Anne J.}",
booktitle = "Wisdom, Well-Being, Win-Win - 19th International Conference, iConference 2024, Proceedings",
address = "Germany",
}