• Journal of Korea Multimedia Society
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• v.20 no.11
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• pp.1785-1792
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• 2017

Generally, big data contains sensitive information about individuals, and thus directly releasing it for public use may violate existing privacy requirements. Therefore, privacy-preserving data publishing (PPDP) has been actively researched to share big data containing personal information for public use, while protecting the privacy of individuals with minimal data modification. Recently, with increasing demand for big data sharing in various area, there is also a growing interest in the development of software which supports a privacy-preserving data publishing. Thus, in this paper, we develops the system which aims to effectively and efficiently support privacy-preserving data publishing. In particular, the system developed in this paper enables data owners to select the appropriate anonymization level by providing them the information loss matrix. Furthermore, the developed system is able to achieve a high performance in data anonymization by using distributed Hadoop clusters.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.83-100
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• 2020

The importance of data publishing in the open-science era is increasing as it can contribute to other scientific discoveries by accelerating the sharing of research data, improving accessibility and citability, and providing standardized technical documentation for research data. In addition, the need for data papers is emerging as a way for data papers to maintain a status equivalent to research papers, and the publication of data journals is on the rise as a new type of scholarly publishing. In particular, the field of Ecology is a field where large-scale research data are produced and managed, thus the data journal publishing in this field is active worldwide. On the other hand, the research on data journal is in its early stages in Korea, and there is no data journal in the field of Ecology. Thus, this study explores and presents strategies for publishing data journals in the ecological field. First, we investigate the publishing status of domestic and international data journals and the publication status of domestic journals. Then, we conducted a focused group interview with experts of scholarly publishing, open access policy and journal publishing in the field of Ecology. Finally, based on the survey and the expert FGI's results, strategies are suggested in terms of publishing data journals in the field of ecology, organizing and publishing journals, organizing journal editors, and receiving manuscripts.

• International Journal of Contents
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• v.15 no.4
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• pp.107-112
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• 2019

With the development of AI (artificial intelligence), animation digital publishing has been integrated with intellectualization. This paper adopts the theory of the global value chain, and analyzes the basic structure of the animation publishing value chain. Then focuses on the analysis of digital technology and artificial intelligence technology to play an active role in the topic selection and content customization of animation digital publishing products, optimization of publishing platforms, and user experience of publishing products. Finally, it proposes the use of artificial intelligence data analysis and deep learning technology. The purpose of this paper is to realize the upgrading of animation digital publishing, product upgrading, industrial chain upgrading, and identify some promotion methods for the value chain, such as copyright protection.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.15 no.2
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• pp.49-70
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• 2004

This study is to analyze the present publishing media in order to grasp the trend of data development and distribution. For this, I analyze the present tendency, concentrating indices of diagram, dividing into traditional book and e-book. It also discusses the viewpoint extracted from the problems related to the data development and distribution of publishing media. Traditional books and e-books have been expending to add newly updated convergence media in digital media era in which internet represents. I discuss these changes to convergence media for the realization of 'ubiquitous' mean the evolution to transmit propagational elements from proper character of traditional book. By the same token, I examine prospect of increasing digital publishing media and other problems before distribution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.8
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• pp.3328-3349
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• 2020

With rapid development of ubiquitous computing and location-based services (LBSs), human trajectory data and associated activities are increasingly easily recorded. Inappropriately publishing trajectory data may leak users' privacy. Therefore, we study publishing trajectory data while preserving privacy, denoted privacy-preserving activity trajectories publishing (PPATP). We propose S-PPATP to solve this problem. S-PPATP comprises three steps: modeling, algorithm design and algorithm adjustment. During modeling, two user models describe users' behaviors: one based on a Markov chain and the other based on the hidden Markov model. We assume a potential adversary who intends to infer users' privacy, defined as a set of sensitive information. An adversary model is then proposed to define the adversary's background knowledge and inference method. Additionally, privacy requirements and a data quality metric are defined for assessment. During algorithm design, we propose two publishing algorithms corresponding to the user models and prove that both algorithms satisfy the privacy requirement. Then, we perform a comparative analysis on utility, efficiency and speedup techniques. Finally, we evaluate our algorithms through experiments on several datasets. The experiment results verify that our proposed algorithms preserve users' privay. We also test utility and discuss the privacy-utility tradeoff that real-world data publishers may face.

• Journal of Contemporary Eastern Asia
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• v.21 no.1
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• pp.53-71
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• 2022

The overall purposes of this study are to identify actions taken to counter predatory publishing practices as well as to propose an ICT-based model to detect such practices. The need to raise quantitative performance metrics to support career goals has created immense pressure on researchers to publish in the literature as frequently as possible. This "publish or perish" syndrome appears to be fueling a rise in scholarly journals and conferences that provide quicker and easier routes to publication. However, such avenues sometimes involve questionable academic practices with important ethical ramifications. One notable example is the proliferation of predatory publishing, including predatory journals and fake conferences. The widening impact of such activities is beginning to prompt academic societies, publishers, and institutions to take measures. This paper discusses the issues on predatory publishing practices, and some of the actions taken by various stakeholders to address these practices. In order to build a transparent and sustainable scholarly publishing ecosystem, this study highlights multi-dimensional and specific solutions, including reforms to research ethics codes, research management rules, and legal protection from exploitative practices. This paper proposes an ICT-based cooperative model for monitoring of predatory publishers as a potential solution to create a sustainable and transparent infrastructure for a scholarly publication system guarding against misconduct in publishing practices.

• Journal of Korean Library and Information Science Society
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• v.54 no.1
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• pp.45-68
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• 2023

This study aims to investigate the awareness and experiences of domestic researchers regarding data publishing, which has been recognized as a new channel of data sharing as scholarly communication evolves in the open science environment. A survey is conducted among researchers from five government-funded research institutes in the field of science and technology and members of the GeoAI Data Society to confirm the awareness of data publishing. As a result of the study, domestic researchers recognized providing explanations for data, stable access to data, citation, and quality assurance through peer review as the advantages of data journals. On the contrary, a low level of recognition for data paper as one of the research outputs was presented. With regard to the properties of data publication, the respondents answered that the data description, metadata description, and permanent identifiers are highly related, however, their recognition of the relation between the properties of data publication and the data submission to a repository and data peer review was relatively low. Finally, to expand the data publication, the need for the development of an editorial system that supports data paper peer review and cross-linking to a data repository as well as the development of a repository that supports data citation was identified. This study on the domestic researchers' experience and awareness of data publishing can provide insights for the implementation of data publishing services and infrastructure in the future.

• Journal of Information Science Theory and Practice
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• v.7 no.1
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• pp.6-16
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• 2019

This study explored journal publishing and authorship by South Korean early career researchers (ECRs) in the field of library and information science (LIS). This research analyzed relevant journal publication data and conducted interviews to obtain information on the experiences and opinions of ECRs. Results indicated that South Korean ECRs in LIS were highly productive. This was evidenced by their annual publishing rate of 2.04 articles per person. In addition, Social Science Citation Index (SSCI) publications were produced at an annual average of 0.26 articles per person, while the quartile ratings for SSCI journal publications were also relatively high. However, unlike the trends seen in other academic fields, their collaborative research efforts were not considered very high because such efforts did not correspond to half their total publications. ECRs often participate as lead or corresponding authors despite being new researchers. ECRs are publishing first in the journals approved by their universities. These researchers cannot receive proper credit if the journal was not approved in this manner. ECRs are particularly disadvantaged when publishing in international journals corresponding to specific areas that are not on the SSCI list. By examining the journal publishing and authorship efforts of ECRs, this study discovered a variety of difficulties that should be addressed. For example, South Korean universities do not currently have cooperative research guidelines to solve authorship problems. The results from this study can serve as a basis to establish academic publishing and authorship policies while promoting scholarly communication in LIS and other scientific fields.

• Journal of KIISE
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• v.44 no.2
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• pp.195-207
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• 2017

In recent years, data are actively exploited in various fields. Hence, there is a strong demand for sharing and publishing data. However, sensitive information regarding people can breach the privacy of an individual. To publish data while protecting an individual's privacy with minimal information distortion, the privacy- preserving data publishing(PPDP) has been explored. PPDP assumes various attacker models and has been developed according to privacy models which are principles to protect against privacy breaching attacks. In this paper, we first present the concept of privacy breaching attacks. Subsequently, we classify the privacy models according to the privacy breaching attacks. We further clarify the differences and requirements of each privacy model.

• Journal of Information Science Theory and Practice
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• v.4 no.4
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• pp.49-63
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• 2016

The emergence of the World Wide Web (WWW) has changed the scholarly publishing system. Today, Open Access (OA) scholarly publishing offers free access and wide dissemination for research findings anytime and anywhere as an additional value for scholarly content. Despite the potentials of OA publishing, its adoption and use is still low.This paper determines factors influencing the adoption and use of OA publishing by academic staff in universities in Nigeria using an adapted Unified Theory of Acceptance and Use Technology (UTAUT). The study applies methodological triangulation by combining quantitative and qualitative approaches. The empirical data were collected from 317 academic staff in universities in southwest Nigeria. The questionnaire forms were analyzed using the Statistical Package for Social Sciences (IBM-SPSS) 19.0 version to generate descriptive statistics, Analysis of Variance, and Hierarchical Multiple Regression. Thematically, analysis also applies to the interviews. The results show that awareness, attitude, performance expectancy, Internet self-efficacy, and facilitating conditions significantly influenced the adoption and use of OA publishing. The study also reveals that due to lack of OA policy, most of the respondents did not know about OA. The findings further establish that all predictors and moderating variables jointly contributed 64.4% total variance towards the adoption and use of OA publishing. One of the implications of this study is that there is a need for adequate facilities to support adoption and use of OA publishing. The findings inform the proposed framework for improving and evaluating the adoption and use of OA publishing. The findings also have theoretical, societal, and methodological significance to all stakeholders.