• Title/Summary/Keyword: research data management

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Proposal of Process Model for Research Data Quality Management (연구데이터 품질관리를 위한 프로세스 모델 제안)

  • Na-eun Han
    • Journal of the Korean Society for information Management
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    • v.40 no.1
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    • pp.51-71
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    • 2023
  • This study analyzed the government data quality management model, big data quality management model, and data lifecycle model for research data management, and analyzed the components common to each data quality management model. Those data quality management models are designed and proposed according to the lifecycle or based on the PDCA model according to the characteristics of target data, which is the object that performs quality management. And commonly, the components of planning, collection and construction, operation and utilization, and preservation and disposal are included. Based on this, the study proposed a process model for research data quality management, in particular, the research data quality management to be performed in a series of processes from collecting to servicing on a research data platform that provides services using research data as target data was discussed in the stages of planning, construction and operation, and utilization. This study has significance in providing knowledge based for research data quality management implementation methods.

Current Status and Proposal of University Library Research Data Management Service: Focused on Science and Technology Specialized Universities (대학도서관 연구데이터 관리 서비스 현황 및 제안 - 과학기술특성화 대학을 중심으로 -)

  • Juseop Kim;Suntae Kim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.279-301
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    • 2023
  • The data-driven research environment is rapidly changing. Accordingly, domestic university libraries are also preparing to establish and operate research data management services to support university researchers. This study was designed to propose a research data management service to support researchers in science and technology specialized university libraries. In order to propose the service, 11 universities specializing in science and technology were selected from overseas and domestic universities and their research data management services were analyzed. Key categories were derived from analysis results, research data management, electronic research notebooks, and RDM training. In particular, the 'research data management' category included DMP, data collection, data management, data preservation, data sharing and publishing, data reuse, infrastructure and tools. And it consists of RDM guides and policies. The results of this study will be helpful in introducing and operating research data management services in science and technology specialized university libraries.

A Study on Ontology Design for Research Data Management (연구데이터 관리를 위한 온톨로지 설계에 대한 연구)

  • Park, Ok Nam
    • Journal of Korean Society of Archives and Records Management
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    • v.18 no.1
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    • pp.101-127
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    • 2018
  • The systematic management of research data is vital because it increases research data's value for research reproduction, verification, and reusability. Standard metadata will play a key role in research data registration, management, and data extraction. Research data has various structural relationships, such as research, research data, data sets, and files, and associated with entities such as citations and research results. The study proposes an ontology model for research data management. It also suggests the application of ontology to NTIS. Previous studies, metadata standard analyses, and research data repository case studies were conducted.

A Study on Establishing the Strategies for Integrated Management and Utilization of Disaster & Safety Research Data (재난안전연구데이터 통합관리·활용을 위한 전략 수립 연구)

  • Ryu, Shin-Hye;Yoon, Heewon;Kim, Daewuk;Choi, Seon-Hwa
    • Korean Journal of Remote Sensing
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    • v.38 no.6_3
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    • pp.1789-1803
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    • 2022
  • With the increase of data and the development of AI technology, the strategies and policies related to integrated data are being actively established to increase the usability of data all over the world. Recently, in the research field, infrastructure projects and management systems are being prepared to utilize research data at the initiative of the government. Also, in Korea, platforms for searching and sharing research data are being actively developed. The National Disaster Management Research Institute (NDMI) has been conducting extensive research on disaster & safety as a national institute, but data-oriented management and utilization are insufficient. Because it still lacks consistent data management systems, metadata for outcomes of research, experts on data and policies for utilization of data to research. In order to move to the data-based research paradigm, we defined the master plans and verified a target model for the integrated management and utilization of disaster & safety research data. In this study, we found out the need to establish differentiated data governance, such as data standardization and unification of the data management system, and dedicated organization for managing data, based on the necessity and actual demands of NDMI. In order to verify the effectiveness of the target model reflecting the derived implications, we intend to establish a pilot mode. In the future, major improvement measures to establish a disaster & safety research data management system will be implement.

A Study on Research Data Creation and Management by Researchers in Mechanical Engineering (기계공학분야 연구자들의 연구데이터 생산과 관리에 관한 연구)

  • Park, Yunmi;Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.4
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    • pp.137-162
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    • 2021
  • This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

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.

Key Factors in the Implementation of Research Data Management Services (연구데이터 관리서비스의 구현 시 고려사항에 관한 연구)

  • Kim, Seonghun;Oh, Sam G.
    • Journal of the Korean Society for information Management
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    • v.35 no.2
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    • pp.141-165
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    • 2018
  • The purpose of this study is to determine crucial factors of consideration in ensuring the successful implementation of research data management services. The study begins by extracting a range of service areas from their equivalent in existing research on data management services. It then collects relevant information via e-mail survey from eight individuals respectively overseeing research data management services at six university libraries and one institution located throughout the United States, Germany, and Australia. Having originated in overseas cases, the resulting factors of consideration were reviewed by domestic experts in research data management services. The finalized areas of research data management services consist of nine categories. The crucial factors of consideration in RDM services are connection between research services and research data management services; national/university-level/institutional agreements; metadata entry personnel and required elements; strategies for the provision of specialized staff; major service area selection through user demand analysis; effective linkage between research data and research results; and close cooperation with users and related organizations.

A Data Quality Management Maturity Model

  • Ryu, Kyung-Seok;Park, Joo-Seok;Park, Jae-Hong
    • ETRI Journal
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    • v.28 no.2
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    • pp.191-204
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    • 2006
  • Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

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A Study on the Research Data Management Methods for the Condensed Matter Physics (응집물질물리분야 연구데이터 관리 방안 연구)

  • Kim, Sungwook;Kim, Suntae
    • Journal of the Korean Society for information Management
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    • v.37 no.3
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    • pp.77-106
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    • 2020
  • In this study, we proposed a method to systematically manage research data in the field of condensed matter physics, which is the most active and interdisciplinary field. In the course of the research, a questionnaire was conducted for researchers in the field of condensed matter physics. The questionnaire was constructed based on the research data management tool Data Asset Framework (DAF) and the FAIR principle for data sharing and reuse. The current status of research data management in the field of aggregated material physics was collected from 14 researchers. The collected data consisted of data on the characteristics and basic information of researchers who answered the questionnaire, data preservation and management, and data sharing and access. By analyzing the collected questionnaire results, nine problems were drawn about the characteristics of research data in the field of aggregate material physics, data collection and production, data preservation and management, data sharing and access. In this study, suggestions were made to improve the problems derived from each aspect.

Research Data Management of Science and Technology Research Institutes in Korea (국내 과학기술분야 연구기관의 과학데이터 관리 현황)

  • Choi, Myung-Seok;Lee, Seung-Bock;Lee, Sanghwan
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.117-126
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    • 2017
  • As the recent research environment and research paradigm have become data-driven, Open Science, based on openness and sharing of public research results, has emerged as a global agenda for scientific research. National policies for sharing and re-use of research data from publicly-funded research are in effect globally. Therefore, in Korea, it is urgent to build policies and infrastructure for sharing and re-use of research data. In this paper, we investigate the current status of research data management of science and technology research institutes in Korea. We conducted in-depth interviews with researchers from 22 research institutes belonging to the National Research Council of Science & Technology, and 20 universities in Korea, asking about terms of creation management utilization of research data, willingness to share data, and needs for sharing and re-use of research data. From these interviews, we drew implications for open research data and future directions.