• Journal of Korean Library and Information Science Society
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• v.46 no.4
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• pp.45-78
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• 2015

The purposes of this article are to raise the critical issues on both catalogs and cataloging of Korean academic libraries, and to explore the feasible solutions to resolve the issues. To the end the first task is a though examination on both the quality of library catalogs and the work capacity of catalogers, and then it is followed by a careful investigation on the causes of both poor quality of library catalogs and low capacity of cataloging work. Finally suggested is some indigenous solutions to improve the low capacity of cataloging work as well as the poor quality of library catalogs. Discussions on this research are based on both search experiments on library catalogs and field interviews with catalogers of 10 major Korean academic libraries.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.129-136
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• 2022

This study examines the moderating effect of sociodemographic factors on the relationship between motivation and outcomes of digital device use. The data from 'the 2020 Survey on the Digital Divide' conducted by National Information Society Agency was used for empirical analysis. Significant interaction effects were observed between sociodemographic characteristics and motivation. The results also show that motivation was a primary predictor of the differences in outcomes of digital device use, the third-level digital divide. These findings have implications for closing the third-level digital divide.

• Informatization Policy
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• v.18 no.4
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• pp.103-137
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• 2011

The digital divide (DD) has been recognized as one of the most serious social and public policy issues to emerge from the rapid growth of computing facility, particularly in regard to Internet capabilities, over the past decade. In order to identify DD research trends and contributions, this research has adopted a bibliometric approach to quantitatively assess the research trends of the DD and also utilized information from related literature in the EV2 database from 2000 to 2011. The results show that the most frequently documented type of publications are journal articles, making up 55.2% of the total database of literature. English is the primary language (96.7%), and USA researchers have made the largest contribution (17.0%) to DD literature. Tokai University (Japan), Tilburg University (Netherlands), and Arizona State University (USA) rank as the top three author affiliations. Information technology, the Internet, and economic and social effects are the three top key words that appear in the related DD literature. The results also revealed various regional evidence, main topics, perspectives, frameworks, and solutions that were introduced in DD publications.

• Informatization Policy
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• v.30 no.3
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• pp.29-48
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• 2023

This study aims to investigate empirically the structural relationships among the components of data governance and their impacts on data integration and data-based administration. Through literature review, various definitions, typologies, and case studies of data governance were examined, with the definition of data governance from a public policy perspective developed and applied. The study then analyzed the data from a survey conducted by the Korea Institute of Public Administration on the use of public data policies and confirmed that organizational factors play a mediating role between institutional and technical factors, and that institutional and technical factors have statistically significant positive relationships with data fusion and data-driven administration. Based on these results, interest and investment in the improvement and development of the legal system in data governance from the institutional, technical, and organizational perspective, clarification of means and purposes of data technology, interest in data organizations and human resources, and practical operation can be achieved. Policy implications such as the development of an effective mechanism were presented.

• Korean Journal of Ecology and Environment
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• v.53 no.4
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• pp.380-389
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• 2020

Research on diagnosing and predicting the response of ecosystems caused by environmental changes such as artificial disturbance and climate change is emerging as the most important issue of biodiversity and ecosystem researches. This study aims to clean, standardize, and provide the results of National Ecosystem Survey which should be considered fundamentally in diagnosing and predicting ecosystem changes in the form of dataset. To refine and clean the dataset we developed a simple verification program based on the fifth National Ecosystem Survey Guideline and applied that program to the data from the second (1997~2005), third (2006~2013) and fourth (2014~2018) National Ecosystem Survey. Data quality control processes were implemented including (1) standardization of terminology, (2) similar data table integration, (3) unnecessary attribute and error elimination, (4) unification of different input items, (5) data arrangement in codes, and (6) code mapping for input items. These approaches and methods are the first attempt propose an option for ecological data standardization in Korea. The standardized dataset of National Ecosystem Survey in Korea will be easily accessible, reusable for both researchers and public. In addition, we expect it will contribute to the establishment of diverse environmental policies concerning environmental assessments, habitat conservation, prediction of endangered species distribution and ecological risks due to climate change. The dataset through this study is open freely online via EcoBank (nie-ecobank.kr) which is the first ecological information portal system in Korea developed by National Institute of Ecology.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.376-378
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• 2005

사용자의 요구사항을 실시간으로 반영하고 연구비 예산정책과 관련된 의사결정 과정을 최대한 지원할수 있는 시스템이 절대적으로 필요하게 되었다. 이러한 현실적인 상황을 반영하여 연구비의 예산편성 및 예산집행의 효율성을 높이고자 J2ME 기반 모바일 연구비 통합관리 시스템을 개발하였다. J2ME 기반 모바일 연구비 통합관리 시스템은 설계단계에서 정보검색 에이전트와 정보통합 에이전트를 이용하였다. 이러한 결과 연구비 계획단계에서부터 예산편성 및 예산집행, 예산정산까지 독립적으로 관리하고 있는 운영 시스템의 데이터베이스들을 최적화하였다. 또한 각 시스템간의 이질성을 최소화하여 연구비 집행업무의 투명성을 향상시키고 상호간의 유기적인 정보교환과 조직의 계획수립 및 분석적 업무를 효과적으로 지원할 수 있었다. 이로 인해 최종 사용자가 원하는 분석정보에 신속하게 접근하여 단편적인 관점보다는 종합적인 관점에서 다양한 자료를 제공받을 수 있었다.

• Journal of Environmental Policy
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• v.4 no.1
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• pp.69-91
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• 2005

In order to accurately evaluate the distribution and emission characteristics of volatile organic compounds(VOCs) produced in the landfill environment, we conducted a series of field campaign to measure VOC emissions from a total of eight landfill sites located all across the Korean Peninsula. During the field measurements made from Sept. 2000 to Dec. 2004, we investigated VOC emission characteristics from 1 large scale, 5 mid scale, and 2 small scale landfill sites. The results from our 4-years study is used to provide valuable information for the management of landfill facilities in Korea. If annual emission rates of VOC are compared in terms of toluene, the magnitude of its emission differed between the closed and active landfills. Whereas closed landfills show emission rates from a few tens to 500g/yr, those of active ones were recorded as 1,000 to 40,000g/yr.

• Journal of the Korea Society for Simulation
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• v.24 no.2
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• pp.31-39
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• 2015

Unemployment is related to social issues as well as personal economics activity so various policies have been made to reduce the unemployment rate in many countries. Because of delay inherent in the survey mechanism to collect unemployment data, it takes lots of time to acquire survey unemployment data. To develop proper policies for reducing unemployment rate at the right time, it is quite critical to obtain faster and more accurate information concerning about unemployment level. To remedy this problem, recently an advanced analytics utilizing internet queries is suggested. To examine the potential of Web query information, this research investigates the usefulness of internet activity data to predict Korean unemployment rate. One of selected web-query data(unemployment claim) has a quite strong correlation with unemployment rate. This research employes a time series approach of the ARIMA model that utilizes the information of keyword queries provided by the Naver(Korean representative portal site) trend together with unemployment rate data provisioned from Statistics Korea. With respect to model selection guidelines of mean squared error and prediction error, the model with utilizing the web query information shows better results than the model without such information. This suggests that there is a strong potential for the used method, which needs to be further explored.

• Journal of the Korean Society for information Management
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• v.35 no.4
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• pp.263-284
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• 2018

Academic libraries need to select and purchase essential collections to support students and faculty in education and research. Therefore, libraries reflect patrons' information needs on collection development through patron purchase requests. This study analyzed the pattern and efficiency of patron purchase requests in a longer-term perspective; for over a decade. Patron purchase requests show different tendencies depending on academic characteristics, which enabled libraries to identify the users' information needs in various subjects. Typically users contributed to collection development by expressing information needs in their fields of study through purchase requests. In the meantime, users in certain fields showed interest in other subject areas besides their own to select general books on various topics. Through this study, it became evident that a major portion of library collections were affected by active purchase requests from a small number of users. However those books were proven to be in demand in terms of effectiveness. Patron-driven acquisition is being implemented as an effective collection development policy.

• Informatization Policy
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• v.19 no.1
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• pp.91-106
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• 2012

We should set up a policy objective to obtain consumer engagement in smart grid and analyze the key influencing factors in smart grid consumer engagement in oder to deploy smart grid successfully. It is because the successful deployment of smart grid depends on whether the end users accept the smart grid products and services. So far, There have been few studies in Korea which focus on the smart grid consumer engagement. Therefore, we carried out an literature review in terms of smart grid consumer engagement and tried to suggest related policy implications. As a result, we identified key influencing factors such as monetary benefits, environment-friendly characteristics, cyber security and understanding of smart grid. Futhermore, we suggested policy implications related to customer education, linkage between smart grid policies and other environmental ones, cyber security enhancement, etc.