• 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.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.4
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• pp.319-344
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• 2018

As a part of the open science policy, this study compared the perception of research data sharing and utilization by academic field. Based on this, in - depth interviews were conducted with semistructured questions to the data task managers of 27 government - funded research institutes in science and technology. Among them, nine excellent organizations were selected from the viewpoint of data management and cases of research data collection and management were specifically presented. The State of the collection and management of research data by the participating research institutes is generally a pilot project stage, and the level of collection and establishment of data also differs by institution. In terms of institutions, they are divided into three levels: the level of collection and establishment of data(KIOM), the advanced level of it (KIST), And level of steps to start sharing (KRIBB, KRICT).

• Journal of Service Research and Studies
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• v.10 no.1
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• pp.17-31
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• 2020

Open banking, the global trend of the financial industry, is the driving force behind various innovations in the financial market in the future. The right policy direction and detailed tasks are important for triggering the differentiation and reunion of the financial industry. The purpose of this study is to investigate and analyze the background of open banking, domestic and international trends, and Korea's open banking policy. The policy directions and tasks for successful settlement and activation of open banking system are carefully suggested. Open banking is a policy to allow third party provider(TPP) access to bank accounts and open payment functions under the explicit consent of the customer. The opening of the open banking era is expected to begin competition and cooperation between banks and fintech companies in earnest, thus enhancing the competitiveness of the financial industry and contributing to the utility of financial consumers. To this end, policymakers should make every effort to advance open-ended financial settlement infrastructure, open banking legal grounds, and minimize side effects such as customer data leakage and poor financial system stability. Banks and fintech companies will need to focus on scattered customer financial information on a single platform and develop it into a convergence and discrimination of true financial services.

• Journal of the Korean Society for Library and Information Science
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• v.54 no.1
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• pp.411-440
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• 2020

The purpose of this study is to derive the detailed elements of each RDM function that can be applied to the development of research data management system in Geoscience field in Korea. Eight institutions related to RDM services were analyzed to achieve the research purpose. As a result of the analysis, 80 detailed elements of Geoscience RDM function were derived, and a survey was conducted to domestic experts to verify the derived details. As a result, 80 RDM functional details for Geoscience are presented in order of importance. The elements presented can be presented as functional details in the establishment and operation of RDM services in the field of Geoscience in research institutes or university libraries in Korea.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.751-756
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• 2024

The accuracy of the model and the explanation of the results are important factors that should be considered simultaneously Recently, applications of explainable artificial intelligence are increasing, and it is especially widely applied in the financial field where interpretation of results is important. In this paper, we compare the performance of open API credit evaluation data using various machine learning techniques. In addition, existing financial logic is verified through explainable artificial intelligence technologies, SHAP and LIME. Accordingly, it is expected to demonstrate the applicability of machine learning in the financial market.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.59-79
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• 2017

This study analyzed the type, subject and open level of research data in the field of library and information science field shared by Figshare, and statistically analyzed the characteristics of data with relatively high recyclability. The results of the analysis showed that datasets and papers were most common data types, and open access and research data were the most common keywords of data, and that 70% of the data were published in a form that can not be processed mechanically such as pdf. As a result of analysis of the relationship between characteristics of research data and degree of sharing, open access areas such as APC (Article Processing Charge) were found to be most common in the subject. However in data type, gray literature such as paper found to be highly utilized rather than dataset.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.431-435
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• 2022

The fields of STEM (Science, Technology, Engineering and Medicine) are changing rapidly. Recently, with the remarkable development of Internet and Web technologies, an environment that can be accessed worldwide has been created, thereby lowering the barriers to share STEM knowledge and information. The purpose of this study is to derive improvements by evaluating users' satisfaction with the information system developed by applying the open access model in the STEM field. Through an online survey using a structured questionnaire, a total of 204 users participated from January to February. The collected data were analyzed using quantitative statistical techniques. IPA (Importance Performance Analysis) technique was used. By identifying the importance and satisfaction (performance) between variables, areas with relatively low satisfaction compared to importance were derived. Users' overall satisfaction with the open access information system was 81.2 points and social reliability was 85.9 points, which were relatively high, respectively. What should be paid attention to in this study is the satisfaction with the system use environment, which is the most vulnerable area.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.100-102
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• 2023

최근 오픈 사이언스 문화가 확산됨에 따라 오픈 데이터, 오픈 소스 소프트웨어와 같은 공개된 리소스들을 효율적으로 공유 및 활용하기 위한 방법이 주목을 받고 있다. 본 논문에서는 연구 소프트웨어의 재현성을 향상시키기 위한 국가연구데이터커먼즈(KRDC)를 소개하고 다중 KRDC 클러스터 간 워크플로우 연계 방안을 제안한다. 국가연구데이터커먼즈는 연구 소프트웨어와 분석 환경인 인프라를 결합하여 함께 제공하는 서비스로, 멀티 노드 쿠버네티스(kubernetes) 클러스터를 기반으로 동작한다. 따라서, 서로 다른 KRDC 프레임워크에 존재하는 리소스들을 하나의 워크플로우로 연계하는 것은 복잡한 사용자 인증/인가 문제, 보안 상의 문제를 고려하여야 한다. 본 논문에서는 프록시(proxy) 앱을 사용하는 워크플로우 연계 기능을 제안하고, 이를 지원하기 위한 통합 인증, 인가 체계와 연계 방안을 구현한다. 제안하는 방법을 두 개의 KRDC 프레임워크를 대상으로 적용하여 제안 워크플로우 연계 방법의 유효함을 확인한다. 본 논문에서 제안하는 워크플로우 연계 방법과 시나리오는 실제 멀티 클러스터 연계 방안을 구현한 사례로, KRDC 프레임워크 뿐만 아니라 다양한 쿠버네티스 기반 리소스 연계에 활용할 수 있는 우수한 결과로 사료된다.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.65-66
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• 2017

최근 오픈 사이언스 운동과 함께 정부 부처, 연구비 지원기관 등에서는 공적 기금으로 연구를 수행하는 경우 생성된 각종 연구 데이터를 관리하고 공개하도록 의무화하려는 움직임이 있다. 데이터에 DOI와 같은 식별자를 부여하여 데이터 리파지토리를 통해 출판하면 이해당사자들에게 많은 이익을 가져다 줄 수 있으며, 데이터의 인용을 활성화하기 위해 주제별 또는 기관별 리파지토리나 데이터센터에서 표준적인 인용 방법과 인용 요소들을 발표하고 있다. 앞으로 과학연구의 공개, 개방화가 더욱 추진되면 더욱 많은 연구데이터의 공유 활동이 일어날 것으로 예상되며 분야별 또는 유형별로 국제적인 데이터 리파지토리들이 출현하여 학술 논문의 근거가 되는 데이터 저장소로서의 역할을 수행할 것으로 생각된다.

• Korea Information Processing Society Review
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• v.23 no.5
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• pp.44-52
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• 2016

최근 학술정보서비스는 논문의 메타정보 중심에서 논문 원문의 전문정보(Full-text)로 구축 및 서비스 범위가 확장되고 있다. 학술지 논문의 전문정보를 기술하기 위해 해외출판사들을 중심으로 다양한 XML 양식이 개발되었으나, 2012년에 국제표준으로 제정된 JATS(Journal article tag suite)가 국내에서 폭넓게 사용되고 있다. 국내 과학기술분야 정보서비스의 대표기관인 KISTI는 2014년부터 JATS 기반으로 학술논문 XML을 구축하여 서비스하고 있다. 아울러 KISTI는 2007년부터 국내 학술논문의 국제적 유통 활성화를 위하여 논문에 DOI를 부여하고 CrossRef에 기탁해오고 있다. 향후, KISTI가 주관하는 Korea DOI Center를 통해 논문 DOI 뿐만 아니라 논문의 비텍스트(표, 그림)정보까지 모두 DOI를 부여하고 서비스에 반영할 계획이다. 이를 위해, 현재까지 구축된 JATS XML에 대한 구성요소를 분석하고 비텍스트정보의 DOI 등록방법 및 활용방안에 대해 살펴본다.