정책정보제공서비스를 위한 BRM분류체계 개선에 관한 연구 (A Study on the Improvement of the BRM Classification System for Policy Information Service)

노영희 (Younghee Noh); 박양하 (Park，Yang Ha)

doi:10.4275/KSLIS.2014.48.4.135

A Study on the Improvement of the BRM Classification System for Policy Information Service

Journal of the Korean Society for Library and Information Science
2014, 48(4), pp.135-171
DOI : 10.4275/KSLIS.2014.48.4.135
Publisher : 한국문헌정보학회
Research Area : Interdisciplinary Studies > Library and Information Science

Younghee Noh ¹, Park，Yang Ha ²

¹건국대학교
²건국대학교 지식콘텐츠연구소

Accredited

ABSTRACT

The aim of this study was to suggest a classification system adapted to provide policy information services. For this purpose, this study completed the following processes; BRM taxonomy analysis, document analysis, analysis of classification systems providing policy information, consulting classification experts, surveys and interviews with policy information consumers, and an empirical validation process through the actual construction of policy information materials. Finally, this study complemented and modified the BRM taxonomy system and proposed a classification system appropriate to policy information resources. Through the procedures of experts discussion, the steps of BRM analysis appropriate to provide policy information services is determined as three steps. The domestic institute websites for policy information services has confirmed the appropriateness of the BRM taxonomy system through the analysis system and service research to provide policy information resources. Also through the specialist interview, the confirmation of BRM and the improvement has been drawn. Through the questionaires, the study analyzes the appropriateness of available BRM taxonomy system and the requirements by subjects. And through the empirical verificaion, it determines the subject of BRM taxonomy system for policy information services.

KEYWORDS

Policy Information Service, BRM Taxonomy System, Policy Information Resources

Citation status

* References for papers published after 2023 are currently being built.

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Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

A Study on the Improvement of the BRM Classification System for Policy Information Service

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Library and Information Science 2023 KCI Impact Factor : 0.84

A Study on the Improvement of the BRM Classification System for Policy Information Service

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.