• Title/Summary/Keyword: Research Data Sharing

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A Study on the Proposal of DAS Template for Sharing Research Data in Domestic Academic Societies: Focusing on Data Sharing Policy of Foreign Publishers (국내 학회의 연구데이터 공유를 위한 DAS 템플릿 제안에 관한 연구 - 해외 출판사 데이터 공유 정책을 중심으로 -)

  • Juseop, Kim;Suntae, Kim
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.34 no.1
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    • pp.239-258
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    • 2023
  • As sharing of research data has become essential, overseas publishers are providing authors with DAS templates to facilitate data sharing. However, the domestic academic market is still lacking in policies related to such research. This study proposes a data sharing policy and DAS template that can be applied to domestic academic societies in order to activate data sharing. To this end, data sharing policies of 5 foreign publishers including Nature and 12 DAS templates including AMS were investigated and analyzed. As a result of the study, an overview of the data sharing policy applicable to domestic academic conferences and a DAS template consisting of 12 items were derived. It is judged that the data sharing policy and DAS template to be presented as a result of this study can be a practical guide and tool for data sharing.

Development of a National Research Data Platform for Sharing and Utilizing Research Data

  • Shin, Youngho;Um, Jungho;Seo, Dongmin;Shin, Sungho
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.25-38
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    • 2022
  • Research data means data used or created in the course of research or experiments. Research data is very important for validation of research conducted and for use in future research and projects. Recently, convergence research between various fields and international cooperation has been continuously done due to the explosive increase of research data and the increase in the complexity of science and technology. Developed countries are actively promoting open science policies that share research results and processes to create new knowledge and values through convergence research. Communities to promote the sharing and utilization of research data such as RDA (Research Data Alliance) and COAR (Confederation of Open Access Repositories) are active, and various platforms for managing and sharing research data are being developed and used. OpenAIRE (Open Access Infrastructure for Research In Europe), a research data platform in Europe, ARDC (Australian Research Data Commons) in Australia, and IRDB (Institutional Repositories DataBase) in Japan provide research data or research data related services. Korea has been establishing and implementing a research data sharing and utilization strategy to promote the sharing and utilization of research data at the national level, led by the central government. Based on this strategy, KISTI has been building a Korean research data platform (DataON) since 2018, and has been providing research data sharing and utilization services to users since January 2020. This paper reviews the characteristics of DataON and how it is used for research by showing its applications.

A Study on the Factors Affecting Sharing of Research Data of Science and Technology Researchers (과학기술분야 연구자의 연구데이터 공유의 영향요인에 대한 연구)

  • Kim, Moonjeong;Kim, Seonghee
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.2
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    • pp.313-334
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    • 2015
  • The purpose of this study was to investigate factors affecting the sharing of research data of science and technology researchers. Data was collected through a survey of 198 science and technology researchers. Independent variables in this study included perception, openness in communication, collaboration, and trust. Latent variable was selected as reward system and dependent variable was research data sharing. The results of analysis of structural equation modeling showed that perception were found to have a positive impact on reward system for data sharing for research. Other factors such as trust, openness in communication and collaboration were not statistically significant in their affect on reward system for data sharing. Finally, reward system was identified as the influential factor on research data sharing.

Reproducibility Approach for Enhancing Accessibility of Deep Learning Models Using the Korea Research Data Commons (국가연구데이터커먼즈를 활용한 딥러닝 학습 모델 접근성 향상을 위한 재현 방안)

  • Sang-baek Lee;Dasol Kim;Sa-kwang Song;Minhee Cho;Mikyung Lee;Hyung-Jun Yim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.311-313
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    • 2023
  • 딥러닝에 대한 관심이 증가함에 따라 다양한 분야의 연구자 사이에 딥러닝 모델의 적용 및 재현이 중요한 작업으로 자리잡았다. 하지만 모델을 재현하고 활용하는데 있어 다양한 환경과 자원의 한계가 발생하여 문제가 되고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 국가연구데이터커먼즈체계인 KRDC 프레임워크를 활용하여 딥러닝 학습 모델의 재현 방안을 제안하였다. 이를 통해 딥러닝 연구에 익숙하지 않은 사용자도 학습 모델의 적용 및 활용을 용이하게 할 수 있음을 확인하였다. KRDC 프레임워크는 사용자가 원하는 데이터와 태스크를 정의하고, 워크플로우로 구성, 학습 모델의 재현 및 활용을 지원한다.

Tacit Knowledge Sharing in Health Industry: Influences of, Personal, Organizational and Social Factors

  • Ghassemzadeh, Hossein;Hojabri, Roozbeh;Eftekhar, Farrokh;Sharifi, Moslem
    • Asian Journal of Business Environment
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    • v.3 no.1
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    • pp.29-35
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    • 2013
  • Purpose - objective of this research is to investigate individual, organizational and environmental factors influence tacit knowledge sharing among healthcare professionals. The transmission of Tacit Knowledge is crucial for organizations to ensure that TK will be passed throughout organization, rather than stored in single employee. Research design, data, and methodology - In this study investigate organizational, individual and environmental factors that influence on TK sharing. To test hypothesizes, the survey method was chosen. Sample size was 100 but 74% of questioners returned. Results - The main findings of this research are related to influence of personal, social cultural and behavioral factors on tacit knowledge sharing. According to extracted data all factors have influence on tacit knowledge sharing except Emotional stability that was found to be negatively related to tacit knowledge sharing. That may means anxiety and stress level of workplace applies negative enhance on tacit knowledge sharing. And finally results show that social environment, team oriented culture and organizational commitment have strongest influences on tacit knowledge sharing. Conclusion - the findings of this study shows that personal, social cultural and behavioral factors influence on tacit knowledge sharing. And also indicates that, social and organizational factors enhance strongly on tacit knowledge sharing.

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An Exploratory Study of Biotechnology Scientists' Research Data Sharing Intention: The Moderating Effects of Academic Reputation (생명공학 분야 연구자의 연구데이터 공유 의도에 영향을 미치는 요인에 관한 연구: 학술적 평판의 조절효과를 중심으로)

  • Kim, Sun
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.45-68
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    • 2022
  • The objective of this study is to investigate the factors which influence biotechnology scientists' data sharing intention. This study employed Ostrom's theory of collective action. The target population of this study includes scientists and students of biotechnology field in South Korea. A total of 411 responses which collected by e-mail were used for the final data analysis. The summary of this study is as follows. First, norm of data sharing and academic reciprocity were found to have significant positive influences on data sharing intention directly. Second, perceived community trust was found to have significant positive influences on data sharing intention when academic reciprocity was the mediator. Third, academic reputation showed the moderating effects on the relationship between norm of data sharing and academic reciprocity, and between norm of data sharing and data sharing intention. These findings show that researchers can approach the data sharing behaviors by using the mechanism of trust, norms, reciprocity, and reputation and indicate necessity for a development of academic reputation system to promote more data sharing behaviors of researchers.

Design and Implementation of Workflow Federation Method for Multi-cluster Based Korea Research Data Commons (멀티 클러스터 기반 국가연구데이터커먼즈 간 워크플로우 연계 방안 설계 및 구현)

  • Dasol Kim;Sang-baek Lee;Seong-eun Park;Minhee Cho;Mikyoung Lee;Sa-kwang Song;Hyung-jun Yim
    • 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.

Data Model Study for National Research Data Commons Service (국가연구데이터커먼즈 서비스를 위한 데이터모델 연구)

  • Cho, Minhee;Lee, Mikyoung;Song, Sa-kwang;Yim, Hyung-Jun
    • 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.

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Computing Resource Sharing and Utilization System for Efficient Research Data Utilization (연구데이터 활용성 극대화 위한 컴퓨팅 리소스 공유활용 체계)

  • Song, Sa-kwang;Cho, Minhee;Lee, Mikyoung;Yim, Hyung-Jun
    • 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.

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A Study on the Perceptions and Experiences of University Constituents on Research Data Management (대학구성원의 연구데이터 관리 인식 및 경험 연구)

  • Chae, Hyun Soo;Chun, Jung Hyun;Kim, Giyeong;Lee, Jee Yeon
    • Journal of the Korean Society for information Management
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    • v.38 no.4
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    • pp.173-198
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    • 2021
  • The study aims to understand university constituents' perceptions and experiences of research data management and sharing then explore the critical factors for establishing effective research data management plans. The literature review enabled summarization of the significant issues regarding research data management and sharing. In addition, the follow-up survey revealed the university constituents' perceptions and experiences about research data management and sharing. This study has significance because it laid the foundation for long-term research data management policies and services development.