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http://dx.doi.org/10.3743/KOSIM.2019.36.4.253

A Study on the Use of Criminal Justice Information Big Data in terms of the Structuralization and Categorization  

Kim, Mi Ryung (서울지방경찰청)
Roh, Yoon Ju (경찰청)
Kim, Seonghun (성균관대학교 문헌정보학과)
Publication Information
Journal of the Korean Society for information Management / v.36, no.4, 2019 , pp. 253-277 More about this Journal
Abstract
In the era of the 4th Industrial Revolution, the importance of data is intensifying, but there are many cases where it is not easy to use data due to personal information protection. Although criminal justice information is expected to have various useful values such as crime prediction and prevention, scientific investigation of criminal investigations, and rationalization of sentencing, the use of criminal justice information is currently limited as a matter of legal interpretation related to privacy protection and criminal justice information. This study proposed to convert criminal justice information into 'crime data' and use it as big data through the structuralization and categorization of criminal justice information. And when using "crime data," legal issues, value in use, considerations for data generation and use were verified by experts, and future strategic development plans were identified. Finally we found that 'crime data' seems to have solved the privacy problem, but it is necessary to specify in the criminal justice information related law and it is urgent to be organized in a standardized form for analysis to use big data. Future directions are to derive data elements, construct a dictionary thesaurus, define and classify personal sensitive information for data grading, and develop algorithms for shaping unstructured data.
Keywords
criminal justice information; big data; crime data; data structuralization and categorization; criminal justice information big data utilization strategy;
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