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

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2019, v.36 no.4, pp.253-277
https://doi.org/10.3743/KOSIM.2019.36.4.253
Mi Ryung Kim
Yoon Ju Roh
Seonghun Kim
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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
형사사법정보, 빅데이터, 범죄데이터, 데이터 구조화․범주화, 형사사법정보 빅데이터 활용전략, criminal justice information, big data, crime data, data structuralization and categorization, criminal justice information big data utilization strategy
Submission Date
2019-11-17
Revised Date
2019-12-17
Accepted Date
2019-12-23

Journal of the Korean Society for Information Management