• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.85-88
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• 2023

오픈 사이언스 운동의 활성화로 인해 다양한 연구 관련 자원들 간의 상호 운용성 확보를 위한 노력이 활발해지고 있다. 특히, 글로벌 연구데이터 커먼즈(Global Open Research Commons) 모델 개발 관련 표준화 활동이 세계 최대 연구데이터 커뮤니티인 RDA(Research Data Alliance)의 주도로 진행되어 왔고, 최근에 GORC Working Group 에서 버전 1.0 모델을 오픈하였다. 이에 이 모델에 대해 살펴보고 국내의 연구데이터 커먼즈인 KRDC(Korea Research Data Commons)와 비교 및 시사점을 논하고 향후 연구 방향을 소개한다.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.4
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• pp.209-232
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• 2023

In order to embrace open research commons, this study looked at the requirements that researchers have for research data platforms. A survey questionnaire was developed using the results of Australian ARDC and European EOSC case studies. The questionnaire addressed five main areas: the need for research data commons, analysis tools, computing resources, consumption of research data, and general respondent characteristics. To determine the requirements for research data platforms, an analysis was conducted on the responses provided by 550 potential platform users. The findings demonstrated that more than 85% of participants concurred on the significance of open research commons. Additionally, there was a high willingness to use research data (77%), analysis tools (84%), share research data (92%), analysis tools (93%), and computing resources (93%) if commons services were provided. The results of this study show that there is a significant demand for open research commons among researchers. Discussions on research data commons are still hard to come by in Korea's research data services sector, though. Research on a range of subjects, such as subject areas, stakeholder characteristics, and real users of commons platforms, need be conducted in the future.

• Journal of Information Science Theory and Practice
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• v.1 no.2
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• pp.84-92
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• 2013

In this study, the properties of the object types required to describe the relationship among research data resources, which may be generated during the life cycle of the research, are derived. The properties of Fedora Commons and DSpace, which are open source software used for resource management, and schema properties published in DataCite were analyzed. Based on relation names of Fedora Commons, nine new relation names were derived. Thirty-eight object type properties consolidating the target properties of the analysis were derived. The result of this study can be used as basic material for crosswalk research studies of object type relation terms to ensure interoperability among the systems.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.430-432
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• 2022

With the recent increase in interest in the open science movement in science and technology fields such as open access, open data, and open source, the movement to share and utilize publicly funded research products is materializing and revitalizing. In line with this trend, many efforts are being made to establish and revitalize a system for sharing and utilizing research data, which is a key resource for research in Korea. These efforts are mainly focused on collecting research data by field and institution, and linking it with DataON, a national research data platform, to search and utilize it. However, developed countries are building a system that can share and utilize not only such research data but also various types of R&D-related computing resources such as IaaS, PaaS, SaaS, and MLaaS. EOSC (European Open Science Cloud), ARDC (Australian Research Data Commons), and CSTCloud (China S&T Cloud) are representative examples. In Korea, the Korea Research Data Commons (KRDC) is designed and a core framework is being developed to facilitate the sharing of these computing resources. In this study, the necessity, concept, composition, and future plans of KRDC are introduced.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.436-438
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• 2022

National Research Data Commons aims to build a system that can be used jointly by arranging analysis resources such as computing infrastructure, software, toolkit, API, and services used for data analysis together with research data to maximize the use of research data. do. The sharing and utilization system for publications and research data in the R&D process is well known. However, the environment in which data and tightly coupled software and computing infrastructure can be shared and utilized is insignificant and there is no management system. In this study, a data model is designed to systematically manage information on digital research resources required in the data-oriented R&D research process. This will be used to register and manage digital research resource information in the National Research Data Commons Service.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.4
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• pp.5-25
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• 2012

The purpose of this study is to develop a measurement tool for the quality of information commons. Information commons is a physical, technological, social, and intellectual place where library users can experience various educational, research, and cultural activities. It is recently gaining popularity and several libraries have implemented it to help users share knowledge and interact with each other. It also intends to provide a place for collaboration, learning, and rest. Despite its benefits and usefulness, there is no measurement tool explicitly designed for the quality of information commons. This study used in-depth personal interview, compared prior studies, and conducted a pilot study to elicit library users' perceptions on information commons and factors influencing on the perceived quality of information commons. Groups of initial items were emerged through classifying and clustering key concepts in the data. Then, the validity of the items were verified through a pilot study. The findings of this study will be useful for developing more reliable and valid survey measurement tool.

• Journal of Information Management
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• v.42 no.2
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• pp.121-149
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• 2011

The purpose of this study is to analyze influencing factors for the user satisfaction of information commons(IC) in school libraries. Relevant previous studies inform four candidate factors that could affect the user satisfaction. Based upon these factors and user interviews, a questionnaire are constructed to form 29 items in total. As the main data, 412 samples are collected from the IC users from 3 high schools in Seoul. Analyses lead to these findings: factors affecting the user satisfaction are identified. They are IC facilities, human services, and achievement level of self-directed learning. It seems that, in ICs, users prefer using space and facilities by themselves to accessing contents. This study suggests ways to improve user satisfaction. It would be essential to introduce IC facilities to current and potential users, to install instruments to enhance achievement level of self-directed learning, and to train users through library education programs.

• Korean Institute of Interior Design Journal
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• v.27 no.2
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• pp.86-97
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• 2018

In modern times, pluralistic social phenomena in which various values are pursed and recognized appear. The modern society called hyper-connected, intelligence information and zero marginal cost society in which shared value is commonly emphasized faces a paradigm shift to shared society system. In particular, sharing-based activities related with intelligence information sectors more prominently emerge in the high-tech informatization which has been accelerated. The purpose of this study is to understand design factors related with how attribution of the sharing culture is expressed in library spaces and examine how sharing infrastructure is established in users' spaces. As a research method, it initially conducted theoretical consideration of the sharing culture and information spaces, which can be regarded as sociocultural phenomena in modern times. Then, it drew sharing culture-based spatial design factors-access, openness and plurality. It analyzed configuration of spaces for sharing information-Cultural Commons (CC), Information Commons(IC) and Learning Commons (LC) - and infrastructure of information spaces, for library cases-five domestic and foreign public libraries-. The findings show that modern library spaces reflect historical needs for the sharing culture and actively serve their roles through spatial infrastructure including contents (programs) and services for sharing knowledge. The study is determined to be valuable as basic data in establishing the infrastructure of information spaces reflecting modern social trends and cultural phenomena, in expecting spatial structures in which knowledge is reproduced and planning spaces of libraries in the future.

• The Journal of Industrial Distribution & Business
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• v.7 no.1
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• pp.15-17
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• 2016

Purpose - During the past twenty years, China has developed rapidly in economy. Meanwhile China's economic development has brought great many problems. Sustainable development is to achieve coordination in the ecological, economic and social aspects. Among them, the environment and resource issues are the most critical issues which affecting sustainable development in China. With China's rapid economic development, China's ecological environment is facing the most serious threat in water pollution, air pollution, solid waste pollution and the destruction of forests and biodiversity, resulting in a significant loss of the national economy. This research aims to examine whether the tragedy of the commons has hindered the sustainable development of China's economy or not. On the other hand, we try to analyze a solution to improve this situation. Research design, data, and methodology - Theoretical background study, finding optimization models, and data analysis. Results - In the case of a clear definition of property rights, the air will have a market price. The market price will coordinate pollutant emissions. Conclusions - The tragedy of commons has hindered the sustainable development. The model of China's Economic development should be changed.

• ETRI Journal
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• v.46 no.1
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• pp.71-81
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• 2024

Recent advances in deep learning for speech and visual recognition have accelerated the development of multimodal speech recognition, yielding many innovative results. We introduce a Korean audiovisual speech recognition corpus. This dataset comprises approximately 150 h of manually transcribed and annotated audiovisual data supplemented with additional 2000 h of untranscribed videos collected from YouTube under the Creative Commons License. The dataset is intended to be freely accessible for unrestricted research purposes. Along with the corpus, we propose an open-source framework for automatic speech recognition (ASR) and audiovisual speech recognition (AVSR). We validate the effectiveness of the corpus with evaluations using state-of-the-art ASR and AVSR techniques, capitalizing on both pretrained models and fine-tuning processes. After fine-tuning, ASR and AVSR achieve character error rates of 11.1% and 18.9%, respectively. This error difference highlights the need for improvement in AVSR techniques. We expect that our corpus will be an instrumental resource to support improvements in AVSR.