RT Article
T1 A framework for measuring the quality of police recorded cybercrime data, illustrated through a UK/USA comparison
JF The crime data handbook
SP 260
OP 272
A1 Correia-Hopkins, Sara
LA English
YR 2024
UL https://krimdok.uni-tuebingen.de/Record/191925191X
AB The potential of administrative data to generate new insights and inform policy and practice is increasingly being explored by researchers and public authorities. The study of cybercrime is no exception, as for example, police recorded crime data can help to better understand repeat victimization trends, as well as crime and victimization trends within small geographies. These types of insight are key to determining what an adequate police response ‘on the ground’ should look like. However, the quality of these data has seldom been systematically analysed. Based on the author’s previous studies and a review of recent literature, this chapter illustrates a framework for assessing the quality of police recorded cybercrime data, by comparing the data collected in the UK by Action Fraud (AF) and the USA by the Internet Crime Complaint Centre (IC3). The strengths and limitations of these data are grouped into four themes, closely aligned with the quality dimensions widely used by statistical authorities including (1) relevance, (2) accuracy and reliability, (3) coherence and comparability and (4) accessibility and timeliness. This framework highlights the need for an intimate knowledge of the data collection mechanisms, to assess the quality of police recorded cybercrime data and make the most of its affordances. This chapter should therefore be useful to users of police recorded cybercrime data, beyond the AF/IC3 examples. Recommendations are made for data quality improvements, which will enable the production of better insights for crime prevention, investigation and victim support.
NO Literaturverzeichnis: Seite 270-272
SN 9781529232042
K1 Crime
K1 Data
K1 Statistics
K1 Internet
K1 Cybercrime
K1 Recording
K1 Measurement
K1 Offence
K1 Quality
K1 Prevention
K1 Großbritannien : USA : Computerkriminalität : Polizei : Statistik