• Title/Summary/Keyword: research data

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A Study on the Development of Research Data Management Service in a Domestic University Library: Focused on the Analysis on the Needs of Researchers Affiliated in Seoul National University (국내 대학도서관의 연구데이터관리서비스 개발 방안에 관한 연구: 서울대학교 소속 연구자들의 요구 분석을 중심으로)

  • Shim, Yunhee;Kim, Jihyun
    • Journal of the Korean Society for information Management
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    • v.36 no.3
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    • pp.61-80
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    • 2019
  • This study aimed to develop Research Data Management (RDM) Services in a domestic university library of Korea. In this study, elements and levels of RDM services are examined and in-depth interview was conducted with university researchers affiliated in Seoul National University, which has the largest amount of research fund among universities in Korea. Interview was conducted to analyze their data management practices and needs of RDM services. Interview results show researchers' lack of awareness toward Data Management Policy and data sharing obligations of funding agencies and academic journal publishers. Also, they had trouble managing research data systematically. However, many of the researchers understand the necessary of research data management and education of data management. Based on the interview result, service elements and contents are suggested for RDM services which is consisted of education services, professional consulting services, curation technical services. This study result will help to guide for the planning the future RDM service in university library of Korea.

A Study on the Construction of RDM in an Organization Using Big Data and Block Chain (빅데이터와 블록체인을 활용한 조직내 RDM 구축방안)

  • Lee, Kyung-Hee;Choi, Youngjin;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.4 no.2
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    • pp.127-139
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    • 2019
  • Research Data Management (RDM) is a system that encompasses people, policies, resources and technologies that provide and support directions in producing, collecting, using, and preserving research data. RDMs consist of a wide range of activities, including supporting the creation of data management plans (DMPs), building data collections and repositories, and digital preservation and distribution. In advanced countries, systems for RDMs and related organizations are well organized and functioning, but in Korea, the management system is insufficient due to low level of data awareness. In this paper, we propose a plan to establish a research data management system suitable for the reality. In particular, it is important to reflect in RDM that the construction of big data platforms for the collection and management of big data in each field and organization is increasing rapidly. Also, we will discuss how to provide data provision and researchers' data sovereignty using blockchain technology, and propose a P2P-based decentralized RDM scheme.

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Object Detection on the Road Environment Using Attention Module-based Lightweight Mask R-CNN (주의 모듈 기반 Mask R-CNN 경량화 모델을 이용한 도로 환경 내 객체 검출 방법)

  • Song, Minsoo;Kim, Wonjun;Jang, Rae-Young;Lee, Ryong;Park, Min-Woo;Lee, Sang-Hwan;Choi, Myung-seok
    • Journal of Broadcast Engineering
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    • v.25 no.6
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    • pp.944-953
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    • 2020
  • Object detection plays a crucial role in a self-driving system. With the advances of image recognition based on deep convolutional neural networks, researches on object detection have been actively explored. In this paper, we proposed a lightweight model of the mask R-CNN, which has been most widely used for object detection, to efficiently predict location and shape of various objects on the road environment. Furthermore, feature maps are adaptively re-calibrated to improve the detection performance by applying an attention module to the neural network layer that plays different roles within the mask R-CNN. Various experimental results for real driving scenes demonstrate that the proposed method is able to maintain the high detection performance with significantly reduced network parameters.

Deriving the Properties of Object Types for Research Data Relation Model

  • Kim, Suntae
    • 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.

Metadata Design for Ecological Research Data: Focused on DCAT (생태 분야 연구데이터를 위한 메타데이터 설계 - DCAT을 중심으로 -)

  • Kim, Juseop;Yoon, Heenam;Kwon, Yong-su;Kim, Suntae
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.249-278
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    • 2020
  • The purpose of this study is to design metadata for management and sharing of Yeogu data produced in the ecological field. Specifically, metadata is designed based on DCAT, which is designed to facilitate interoperability between data catalogs published on the web. In addition, ABCD, Darwin Core, and EML were analyzed and applied to metadata design to reflect the characteristics of the ecological field. As a result of the research, a total of 51 metadata elements were derived for managing research data in the ecological field, and 6 essential elements, 23 recommended elements, and 22 optional elements were included. The results of this study can be used to design a DB when building a research data management and sharing system based on metadata elements, and to suggest a metadata exchange format when linking with other systems.

A Study on the Considerations for Data Management Plan Services in University Libraries (대학도서관의 데이터관리계획 서비스 고려사항에 관한 연구)

  • Park, Hyeong Jeong;Kim, Jihyun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.3
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    • pp.187-215
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    • 2021
  • Due to the ongoing spread of digital technology, there is a movement around the world to open the process and results of research, and Open Science in order to improve access to data produced during the research process, which, as a result, supports the open development and advancement of science. In Korea, discussions on the DMP service are starting at domestic universities for the systematic management, sharing, and utilization of research data. Therefore, in this study, the status of DMP services provided by overseas university libraries were examined through case studies, opinions and requirements for DMP services. The effectiveness of DMP services were confirmed with collected research data, including interviews with research support service personnel of domestic university libraries. Through this, it was intended to suggest matters to be considered in terms of policy making, service implementation and awareness enhancement when providing DMP service in domestic university libraries.

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.

Meta-analysis of the programming learning effectiveness depending on the teaching and learning method

  • Jeon, SeongKyun;Lee, YoungJun
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.11
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    • pp.125-133
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    • 2017
  • Recently, as the programming education has become essential in school, discussion of how to teach programming has been important. This study performed a meta-analysis of the effect size depending on the teaching and learning method for the programming education. 78 research data selected from 45 papers were analyzed from cognitive and affective aspects according to dependent variables. The analysis from the cognitive aspect showed that there was no statistically significant difference in the effect size depending on whether or not the teaching and learning method was specified in the research paper. Meta-analysis of the research data where the teaching and learning method was designated displayed significances in CPS, PBL and Storytelling. Unlike the cognitive aspect, the analysis from the affective aspect showed that the effect size of the research data without the specified teaching and learning method was larger than those with specified teaching and learning method with a statistical significance. Meta-analysis of the data according to the teaching and learning method displayed no statistical significance. Based upon these research results, this study suggested implications for the effective programming education.

Reconsideration of Research Framework for RRM in the Perspective of Linked Open Data (차세대 학술연구 데이터 공유 활성화를 위한 연구기록의 구조적 요건에 대한 연구)

  • Yoo, Sarah
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.3
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    • pp.101-120
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    • 2019
  • The cognition of Research Record Management (RRM) scholars about research framework is important as a pre-condition for future Linked Open Data (LOD). Researchers will be directly engaged to the research data-process with Cloud Computing Data-Infra, which is considered as a Nation-wide R&D Data Projects. The purpose of this paper is to diagnose researcher's cognition of research framework and to provide some guidance of finding a new meaning of the structural requirements of resarch record.

Comparative Analysis on Digital Curation Process in Foreign Academic Libraries (외국 대학도서관의 디지털 큐레이션 프로세스 비교분석)

  • Han, Na-Eun;Kim, Seonghee
    • Journal of Korean Library and Information Science Society
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    • v.45 no.2
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    • pp.93-116
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    • 2014
  • This study analyzed the digital curation process targeting the foreign 10 university libraries for the efficient utilization of the research data. The analysis was conducted by dividing into 4 parts such as the selection and ingest of data, preservation, access and use, responsibilities and management. The results indicated that research data for selection and ingest include data produced by the faculty members or can be accessible in the university or research institution. The findings also showed that the institutions use Dublin Core, MODS, and PREMIS as a metadata for preservation. In the aspect of approach and use, regulation are decided based on the law and agreement. And in the aspect of responsibility and management, most elements are divided into the management, financial, technical, physical, and personal parts and each audit or sustainability is reviewed.