• Title/Summary/Keyword: Open & Sharing Data

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An Analysis on Trends and Tasks of Open Data Policy in the Digital Era (디지털 시대 오픈 데이터 정책의 현황과 과제)

  • Shin, Eun-Ja
    • Journal of the Korean Society for information Management
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    • v.32 no.3
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    • pp.49-68
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    • 2015
  • There were not many ways to share research data in the past, but modern information technology has allowed us to share these data. As data sharing has its side effects, researchers' attitude and practice to sharing data vary by individual discipline. This study found that foreign learned societies, NGOs, universities and research funders support data sharing in a utilitarian perspective, while major publishers demand it so that other researchers can verify the data in peer review. It is important that open data policy should be settled down in near future for evoking further studies and encouraging progress in science. In order to establish data sharing successfully in Korea, efforts could be made by researchers, universities, academic libraries, and governments as well as the stakeholder. This study also proposed specific ways to perform it.

A Study on the Status and Editors' Perceptions of the Data Sharing Policies of International Journals Published in Korea (한국의 국제 학술지 데이터 공유 정책 현황 및 편집인 인식에 관한 연구)

  • Seo Young Bai;Jihyun Kim
    • Journal of the Korean Society for information Management
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    • v.40 no.3
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    • pp.25-54
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    • 2023
  • At a time when open data receives attention as an international trend, there is a need to discuss the role of international journals in Korea to support data sharing. Based on surveys and interviews of editors from the international journals, we identified factors affecting the policy adoption and examined the journal editors' perception on the adoption and components of the data sharing policy. As a result, scholarly journals that have adopted or are planning to adopt policies have recognized that data sharing is an international trend and can contribute to research development, but they stressed that efforts to improve the perception of data sharing were still necessary. Educational activities and compensation for sharing data were needed at scholarly journals' and communities' level. Also, components perceived important and selected by more than half of the editors as mandatory were 'data availability statement', 'data sharing level', 'data sharing method', and 'data citation'. While scholarly journals do not always need to mandate data sharing, it was necessary to mention conditions where data cannot be shared through data availability statements. The role of the organization developing and operating a repository appropriate for situations in Korea was also emphasized. In addition, by identifying factors affecting the policy adoption, significant differences were found in Journal Impact Factor quartiles, publication type, and subject area. This finding indicated that journals with a high impact factor are likely to have resources to support data sharing, and open access or hybrid journals are likely to have interest in open data as a part of open science. In the medical research area, active movements for data sharing in academic communities have promoted the adoption of data sharing policies. This study would be used as basic data to facilitate the adopton and operation of scholarly journals' data sharing policies in Korea.

Analysis of the Influence of Domestic Open Banking Quality Factors on Intention to Use (국내 오픈뱅킹 품질요소가 사용자 이용의도에 미치는 영향분석)

  • Jung, Bo-chun;Hong, Suk-ki
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.69-77
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    • 2021
  • The main channels of the financial industry are rapidly changing to mobile. In this environment, banks are focusing on information and communication technology to secure their competitiveness, and rapid innovation is being pursued especially in the payment settlement sector. In October 2019, Korea also introduced open banking services to accelerate the financial innovation, such as the open conversion of financial settlement networks and the expansion of the use of simple payments. In this paper, an empirical study was conducted on the effect of domestic open banking quality factors on usage intention. The service quality factors for open banking were classified into interface design, innovation, security, and data sharing, and the technology acceptance model (TAM) was used to verify whether it has a significant effect on perceived convenience, usefulness and intention to use. According to the analysis results, while innovation and security did not have a significant effect on convenience and usefulness, interface design and data sharing were found to have an effect on perceived convenience. The results would provide implications for some quality issues for companies seeking to introduce open banking services as well as for the related academic arena.

Interlinking Open Government Data in Korea using Administrative District Knowledge Graph

  • Kim, Haklae
    • Journal of Information Science Theory and Practice
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    • v.6 no.1
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    • pp.18-30
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    • 2018
  • Interest in open data is continuing to grow around the world. In particular, open government data are considered an important element in securing government transparency and creating new industrial values. The South Korean government has enacted legislation on opening public data and provided diversified policy and technical support. However, there are also limitations to effectively utilizing open data in various areas. This paper introduces an administrative district knowledge model to improve the sharing and utilization of open government data, where the data are semantically linked to generate a knowledge graph that connects various data based on administrative districts. The administrative district knowledge model semantically models the legal definition of administrative districts in South Korea, and the administrative district knowledge graph is linked to data that can serve as an administrative basis, such as addresses and postal codes, for potential use in hospitals, schools, and traffic control.

An Open Science 'State of the Art' for Hong Kong: Making Open Research Data Available to Support Hong Kong Innovation Policy

  • Sharif, Naubahar;Ritter, Waltraut;Davidson, Robert L;Edmunds, Scott C
    • Journal of Contemporary Eastern Asia
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    • v.17 no.2
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    • pp.200-221
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    • 2018
  • Open Science is an umbrella term that involves various movements aiming to remove the barriers to sharing any kind of output, resources, methods or tools at any stage of the research process. While the study of open science is relatively advanced in Western countries, we know of no scholarship that attempts to understand open science in Hong Kong. This paper provides a broad-based background on the major research data management organisations, policies and institutions with the intention of laying a foundation for more rigorous future research that quantifies the benefits of open access and open data policies. We explore the status and prospects for open science (open access and open data) in the context of Hong Kong and how open science can contribute to innovation in Hong Kong. Surveying Hong Kong's policies and players, we identify both lost research potential and provide positive examples of Hong Kong's contribution to scientific research. Finally, we offer suggestions regarding what changes can be made to address the gaps we identify.

A Study on Constructing figures in science Linked Open Data (과학인물 LOD 구축에 관한 연구)

  • Kim, Ji-Young;Park, Sun-A;Lee, Seon-Hee
    • Journal of Korean Library and Information Science Society
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    • v.45 no.4
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    • pp.429-455
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    • 2014
  • The information of figures in science which could induce interest in science and have educational importance is the value-added content through information sharing and connectivity. In this study, we analyzed domestic and overseas cases of Linked Open Data(LOD) that are being increased recently in order to provide a better service through information sharing and utilization of scientific figures. We suggested an efficient scientific figures ontology and the method for LOD construction reflecting the results of the analysis. We also presented plans for the interlinking among various external resources and for promoting LOD information use.

A Study on the analysis of Research Data Management and Sharing of Science & Technology Government-funded Research Institutes (과학기술분야 출연연구기관 연구데이터 관리 및 공유 사례 분석 연구)

  • Park, Miyoung;Ahn, Inja;Nam, Seungjoo
    • 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).

An XML-Based Modeling Language for the Open Trading of Decision Models

  • Kim, Hyoung-Do
    • Korean Management Science Review
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    • v.17 no.3
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    • pp.147-160
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    • 2000
  • These days, a modeling tool or environment has to know about the others on the market and build bridges to them with which their customers insist on sharing models and data. When it is based on a closed architecture, a tangle of import/export point translators is required. Using an exchange standard, we can design an open architecture for the interchange of models and data. XML(Extensible Markup Language) provides a framework for describing the syntax for creating and exchanging data structures. The explosive growth of XML-based business proposals and standards reflects the urgent requirements and its strength. This paper proposes an XML-based language for sharing decision models within the MSOR/DSS community. The language is able to allow applications and on-line analytic processing tools to models obtained from multiple sources without having to deal with individual differences between those sources. It is expected to be a medium for B2B integration by supporting flexible interchange of decision models.

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Research on Geodetic Data Standard System

  • Zhiping, Lu;Xiguang, Zhang
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.53-56
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    • 2003
  • Aiming at importance of geodetic data standards in process of digitized geodetic production, application and service, this paper discusses the content framework of geodetic technical base standard, information system standard and data service standard. Hierarchy relation and category relation of geodetic data standard system are established in this paper.

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Open API service platform designed for embedded (웹 2.0을 위한 임베디드 Open API 서비스 플랫폼 설계)

  • Yang, Moon-seok;No, Young-sik;Byun, Ji-Yoong;Cha, ji-yun;Park, Sang-Yeol;Byun, Yung-cheol
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.587-590
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    • 2008
  • The Web 2.0 is mean to Web as Platform, as the platform provided various service using a data on webs by opening information. That is, it leads to the sharing and participation of information among internet users. In this paper, we research web technology for embedded computers which be supplied data and services to implement Ubiquitous computing. Therefore, we designed Open API service platform used the embedded system for the sharing and opening of web 2.0 trends. This designed platform is provided to internet users with various services and information in real-time.

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