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http://dx.doi.org/10.3743/KOSIM.2022.39.4.269

A Study on Development of Digital Curation Maturity Models and Indicators: Focusing on KISTI  

Seonghun, Kim (성균관대학교 문헌정보학과)
Suelki, Do (성균관대학교 문헌정보학과 )
Sangeun, Han (카이스트 디지털인문사회과학센터 )
Jayhoon, Kim (KISTI 디지털큐레이션센터 데이터표준화팀 )
Seokjong, Lim (KISTI 디지털큐레이션센터 데이터표준화팀 )
Jinho, Park (한성대학교 크리에이티브 인문학부)
Publication Information
Journal of the Korean Society for information Management / v.39, no.4, 2022 , pp. 269-306 More about this Journal
Abstract
This study aimed to develop indicators that can measure the digital transformation performance of science and technology information construction and sharing systems by utilizing the Digital Curation Maturity Models. For digital transformation, it is necessary to consider not only simple service improvement but also organizational and business changes. In this study, we aimed to develop a model for measuring the digital transformation of KISTI, Korea's representative science and technology information service organization. KISTI has already carried out BPR work for digital transformation and borrowed the concept of a maturity model. However, in BPR, there is no method to measure the result. Therefore, in this paper, we developed an index to measure digital transformation based on the maturity model. Indicator development was carried out in two ways: model development and evaluation. Cases for model construction were made through a comprehensive review of existing KISTI and various domestic and foreign cases. The models before verification were technology (37), data (45), strategy (18), organization (36), and (social)influence (14) based on the major categories. After verification using confirmatory factor analysis, the model is classified as technology (20 / 17 indicators dropped), data (36 / 9 indicators dropped), strategy (18 / maintenance), organization(30 / 6 indicators dropped), and (social) influence (13 indicators / 1 indicator dropped).
Keywords
digital curation; maturity model; open science; digital transformation; confirmatory factor analysis;
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