• Journal of Korean Society of Archives and Records Management
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• v.23 no.3
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• pp.115-136
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• 2023

The purpose of this study is to discuss problems and seek improvement plans based on a critical analysis of the detailed standards for nondisclosure of 19 administrative departments in accordance with Article 26 of the Government Organization Act. To this end, the status of information disclosure-related regulations in 19 administrative departments was analyzed, and 6,094 cases of nondisclosed information were investigated and analyzed. In addition, through interviews with seven information disclosure experts, the analysis contents of this study were shared and reviewed. Furthermore, opinions on the effectiveness, problems, and system improvement areas of the detailed standards for nondisclosed information were collected. As a conclusion, three improvement measures were proposed: first, the legislation on the establishment of detailed standards for nondisclosure; second, the establishment of a system for regular substantive inspection of detailed standards for nondisclosure; and third, the improvement in the service of detailed standards for nondisclosure.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.183-196
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• 2011

There has recently been a surge of interest in relational database mining that aims to discover useful patterns across multiple interlinked database relations. It is crucial for a learning algorithm to explore the multiple inter-connected relations so that important attributes are not excluded when mining such relational repositories. However, from a data privacy perspective, it becomes difficult to identify all possible relationships between attributes from the different relations, considering a complex database schema. That is, seemingly harmless attributes may be linked to confidential information, leading to data leaks when building a model. Thus, we are at risk of disclosing unwanted knowledge when publishing the results of a data mining exercise. For instance, consider a financial database classification task to determine whether a loan is considered high risk. Suppose that we are aware that the database contains another confidential attribute, such as income level, that should not be divulged. One may thus choose to eliminate, or distort, the income level from the database to prevent potential privacy leakage. However, even after distortion, a learning model against the modified database may accurately determine the income level values. It follows that the database is still unsafe and may be compromised. This paper demonstrates this potential for privacy leakage in multi-relational classification and illustrates how such potential leaks may be detected. We propose a method to generate a ranked list of subschemas that maintains the predictive performance on the class attribute, while limiting the disclosure risk, and predictive accuracy, of confidential attributes. We illustrate and demonstrate the effectiveness of our method against a financial database and an insurance database.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.387-399
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• 2021

This study mainly aims to examine the effect of intangible assets on the value relevance of the Gulf Cooperation Council (GCC)-listed non-financial firms. This study tested three types of models by using a large sample of non-financial firms listed in GCC countries as emerging markets from 2008 to 2016. The types of models are accounting information (earnings per share and book value of share) without intangible assets model, intangible assets model, and accounting information (earnings per share and book value of share) with intangible assets model. Ordinary least square (OLS) shows mixed results as intangible assets improve the value relevance of accounting information positively in UAE and negatively in Kuwait but not in other countries. The study documents a robust positive relationship between intangible assets and earnings quality in terms of value relevance in KSA and Qatar. The findings provide implications for policymakers, investors, and managers. The results suggest that intangible assets can improve the value relevance in emerging markets, such as GCC, as the need to organize the requirements of information disclosures on intangible assets and provide great transparency and additional disclosure of information about intangible assets and their components.

• Journal of the Korea Convergence Society
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• v.11 no.3
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• pp.211-218
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• 2020

This study compared and analyzed the efficiency of the research results of the convergence research project operated by the National Science and Technology Research Council and the general research project carried out by the Government-funded research institute and proposed measures to enhance the efficiency of the operation and management of convergence research. Research data were collected from 21 government-funded research institutes through an information disclosure claim and DEA analysis was conducted for efficiency assessment. The SCI papers of convergence research showed high efficiency, and the patent registration and technology transfer sector showed high efficiency of general research projects. This indicates that convergence research projects for securing lead and original technologies are highly efficient, but their performance is low due to lack of participation by businesses in terms of the utilization of derived technologies, and more companies' participation and opportunities are needed for practical use of convergence research results. Through the analysis of efficiency of convergence research project performance, this study provided policy and guidance for R&D planning for rational investment of limited manpower and research costs. Further, future research on identifying efficiency is proposed depending on the type of technology subject to convergence research as a method for managing convergence research.

• Journal of the Korean association of regional geographers
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• v.23 no.3
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• pp.437-449
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• 2017

As a new duty of universities, contributions to localities and regions are magnified as an important issue and overseas universities are creating it as the index to use self evaluations and public relations actively. The universities in Korea are expanding resources usage of university and proceeding various businesses to enhance co-operation with local government, civic groups and companies lately. However, it is still in an embryo. This study is aiming to analyze cases of foreign universities and the socio-economic impacts of university on the region and discover evaluation index based on the results to be applied to the universities in Korea. This study had considered the evaluation of local effect by the university conducted by the Higher Education Funding Council for England(HEFCE) which is the representative case to analyze the impacts of university on the region at the level of government and independent organizations. The applicable common index had been extracted for universities in Korea from case studies on University of Rochester in the US and University of Birmingham in the UK considered as a representative university in North America and Europe respectively which are publishing a white paper on local and regional impacts of the university by using various index. As a result, 24 items in six areas(economic influence, research, education, art & cultural services, regional development, and the field of university specialization) had been deducted as the evaluation index which represents the local and regional impacts of university. This index could be secured through holding materials of each university and 'Higher Education in KOREA' as university information disclosure service and it might be applied to the universities in Korea.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.465-486
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• 2024

The purpose of this study is to identify the current status of infrastructure and services for analyzing research data for research data managers at government-funded research institutions under the National Research Council for Science and Technology (NST) who will actually use the Korea Research Data Commons (KRDC), which is being developed by the Korea Institute of Science and Technology Information (KISTI) and to investigate the perceptions of research data managers related to the establishment of KRDC system. For the study, we conducted a survey targeting 24 government-funded research institutes, excluding KISTI, and interviewed research data managers from 9 of the 15 institutions surveyed who agreed to follow-up interviews. As a result of the survey, most institutions were providing related services, and their willingness to introduce an integrated analysis framework for the use of research data and provide a system for using externally released analysis software was also high. Meanwhile, when we investigated the external disclosure status of each institution's analysis services through follow-up interviews, only a minimal number of institutions were disclosing them to the outside world. The findings reveal that there is a demand to utilize analysis infrastructure and services when provided through the framework. However, it is difficult to disclose and share the analysis resources held by each organization. In order to establish the KRDC system, it is essential to share research sites' analysis infrastructure and services, and in addition, changes in the perception of research sites and institutional changes are necessary. Furthermore, there is a need to establish policies that consider the system's convenience, security, and compensation system raised in the follow-up interviews.