• Title/Summary/Keyword: research data

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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 Use Case of Research Data Sharing in Biotechnology (생명공학분야의 연구데이터 공유 사례에 관한 연구)

  • Park, Miyoung;Ahn, Inja;Kim, Junmo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.1
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    • pp.393-416
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    • 2018
  • In this study, major steps of the research data management plan were derived through the research data management guidelines of major countries (NISO DMP in the US, UK DMP in UK archives, etc.). The results obtained are support for research data policy & planning, research data technical support, research data sharing support, research data legal mechanism support, and research data education support. In this study, we analyzed seven cases of data sharing among 7 domestic and foreign biotechnology. Shared use case countries are limited to the United Kingdom and the United States, which play a leading role in the management of research data. In Korea, shared cases were analyzed for the Korean Bio Information Center and related systems, which is a research and performance management and distribution agency designated by the Ministry of Science and Technology.

A Case Study of the Australian Research Data Policy and Support Services (호주의 연구데이터 정책 및 지원체계에 대한 사례 분석)

  • Shim, Wonsik
    • Journal of the Korean Society for information Management
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    • v.36 no.4
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    • pp.227-251
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    • 2019
  • In early 2019, Korea passed the law that introduced data management plan policy similar to those adopted by national funding agencies in other countries. In anticipation of developing research data infrastructure and support services, this study analyzed Australia's relevant policies and policy instruments. A number of face-to-face interviews with the experts at the national funding agency, a national research data agency and a number of research libraries, along with focused literature analysis. In Australia, the 2015 Public Data Policy is applied to research data from publicly funded research. Research data management and sharing is recommended but not required by the national funding agency it its policy documents. Australian National Data Service(ANDS), Australia's national research data agency, is an important component of the national research infrastructure. ANDS plays a wide range of roles including research data platform development, education and training, policy support, and funding agency for small-scale R&D. Some of the Australian research libraries have developed in-house systems for research data storage and publishing. However, there is no significant demand for research data service as yet. Lessons learned include the following: ensuring transparency and predictability of research data policies, establishing a dedicated agency responsible for research data platform development and training, and cultivating data capabilities at research libraries.

A Study on Benefits of Digital Preservation of Research Data (디지털 연구데이터 장기보존의 편익에 대한 연구)

  • Hyun, Moonsoo
    • Journal of Korean Society of Archives and Records Management
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    • v.11 no.1
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    • pp.161-181
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    • 2011
  • The study identifies benefits arising from the digital preservation of research data. Through analysing studies on digital preservation and digital research data in a economic perspective, broad benefits from digital preservation of research data have been identified and analysed quantitatively as well as qualitatively. It provides the starting point of systematic management and preservation of digital research data. Furthermore, it attempts modelling for investigating and producing benefits both in quantity and quality that is fundamental to promote investments.

Study about Research Data Citation Based on DCI (Data Citation Index) (Data Citation Index를 기반으로 한 연구데이터 인용에 관한 연구)

  • Cho, Jane
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.1
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    • pp.189-207
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    • 2016
  • Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

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.

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.

The Study on Research Data Management of Researchers in the Field of Forestry Engineering using DAF(Data Asset Framework) - Focused on National Institute of Forest Science - (DAF(Data Asset Framework)를 활용한 임산공학 분야 연구자들의 연구데이터 관리 개선 방안 - 국립산림과학원을 중심으로 -)

  • Kim, Juseop;Han, Yeonjung;Youe, Won-Jae;Jeon, Yerin;Kim, Suntae
    • Journal of Korean Library and Information Science Society
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    • v.51 no.2
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    • pp.103-131
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    • 2020
  • This study was started with the aim of grasping the current status of research data management of forestry engineering researchers. In order to achieve the research purpose, the survey was conducted using a tool called DAF (Data Asset Framework). DAF is an investigative tool that provides a means to identify, position, describe and evaluate how the agency manages research data. Using this DAF, the research data management status was analyzed for researchers in the field of forestry engineering at the National Institute of Forest Science. As a result of analysis, the current status and problems of the five categories such as the method and type of research data creation, sharing, storage, preservation, and reuse were identified, and solutions were presented in relation to the problems. This study is a basic investigation using a systematic tool such as DAF, and can be used as a reference for analyzing the current status and problems of research data when designing RDM system in a specific field.

Analysis of the Current Status of Data Repositories in the Field of Ecological Research

  • Kim, Suntae
    • Proceedings of NIE
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    • v.2 no.2
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    • pp.139-143
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    • 2021
  • In this study, data repository information registered in re3data (re3data.org), a research data registry, was collected. Based on collected data, the current status was analyzed for 354 repositories (approximately 14% of total repositories) in the field using keywords in the ecological field suggested by two experts. Major metadata formats used to describe data in ecological research data repositories include Federal Geographic Data Committee Content Standard for Digital Geospatial Metadata (FGDC/CSDGM), Dublin Core, ISO 19115, Ecological Metadata Language (EML), Directory Interchange Format (DIF), Darwin Core, Data Documentation Initiative (DDI), and DataCite Metadata Schema. The number of ecological repositories according to country is 102 in the US, 34 in Germany, 31 in Canada, and one in Korea. A total of 771 non-profit organizations and 12 for-profit organizations are involved in the construction of the ecological field research data repository. Data version control ratio of the ecological field research data repositories registered in re3data was analyzed to be somewhat higher (86.6%) than the total ratio (83.9%). Results of this study can be used to establish policies to build and operate a research data repository in the ecological field.

A Study on the Sharing of Research Data in Library and Information Science Field (문헌정보학 분야 연구데이터 공유에 관한 연구)

  • Cho, Jane
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.59-79
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    • 2017
  • This study analyzed the type, subject and open level of research data in the field of library and information science field shared by Figshare, and statistically analyzed the characteristics of data with relatively high recyclability. The results of the analysis showed that datasets and papers were most common data types, and open access and research data were the most common keywords of data, and that 70% of the data were published in a form that can not be processed mechanically such as pdf. As a result of analysis of the relationship between characteristics of research data and degree of sharing, open access areas such as APC (Article Processing Charge) were found to be most common in the subject. However in data type, gray literature such as paper found to be highly utilized rather than dataset.