• Title/Summary/Keyword: 연구데이터

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Development of a Data Reference Model for Joint Utilization of Biological Resource Research Data (생물자원 연구데이터의 공동 활용을 위한 데이터 참조모델 개발)

  • Kwon, Soon-chul;Jeong, Seung-ryul
    • Journal of Internet Computing and Services
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    • v.19 no.4
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    • pp.135-150
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    • 2018
  • The biological resources research data around the world are not only very critical themselves but should be shared and utilized. Up to now, the biological resources have been compiled and managed individually depending on the purpose and characteristics of the study without any clear standard. So, in this study, the data reference model would be suggested which is applicable in the phase ranging from the start of the construction of the information system and which can be commonly used. For this purpose, the data model of the related information system would be expanded based on the domestic and foreign standards and data control policy so that the data reference model which can be commonly applicable to individual information system would be developed and its application procedure would be suggested. In addition, for the purpose of proving the excellence of the suggested data reference model, the quality level would be verified by applying the Korgstie's data model evaluation model and its level of data sharing with the domestic and foreign standards would be compared. The test results of this model showed that this model is better than the conventional data model in classifying the data into 4 levels of resources, target, activities and performances and that it has higher quality and sharing level of data in the data reference model which defines the derivation and relation of entity.

Data Life Cycle Proposal for Research Data Management (연구 데이터 관리를 위한 데이터 라이프 사이클 제안)

  • Kim, Juseop;Kim, Suntae;Jeon, Yerin
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.4
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    • pp.309-340
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    • 2019
  • Although overseas countries have already developed data life cycle for the preservation and curation of data since the 1990s, the research in Korea has been very insufficient. In this study, we analyzed the data life cycles developed in DCC, ICPSR, IWGDD, DataONE, USGS and UKDA to propose data life cycle for efficient management of research data. As a result of the analysis, the common components derived are 'Plan', 'Create & Collect', 'Process', 'Preserve', 'Dispose', 'Access & Use', 'Describe', 'Assure' and 'Backup & Secure'. In addition, the nine components were subdivided into stages to describe the details to be carried out at that stage. It is expected that the content of this study will be applicable in the future development of data life cycle for research data management in Korea.

A Study on the Development of the Template for creating the Data Management Plans (데이터 관리 계획 작성을 위한 템플릿 개발에 관한 연구)

  • Kim, Juseop;Kim, Suntae
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.3
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    • pp.373-396
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    • 2021
  • The government is establishing a national governance system so that research data can be systematically preserved and reused as a national asset. Recently, as DMP submission has become mandatory in some research institutes, it is a reality that DMP preparation is becoming a necessity for researchers. Therefore, the purpose of this study is to develop a template so that the researcher can easily write the DMP that must be submitted when planning the project. To develop such a DMP template, 27 domestic and foreign DMP templates were investigated and analyzed, and as a result, a DMP template for domestic researchers was proposed. It is judged that the DMP template proposed as a result of this study can be used as an exemplary case that can be used in other research institutes and universities.

Exploring National Science and Technology using Research Resource Knowledge Graph (연구리소스 지식그래프를 활용한 국가과학기술정보 탐색)

  • Cho, Minhee;Yim, Hyung-Jun;Song, Sa-kwang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.621-623
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    • 2021
  • Open science policies are spreading that disclose, share, and utilize research results produced through government public funds. As a policy to revitalize open science, interest in research support services that allow easy search, access, and reuse of results is increasing. To support services to provide researchers with various information, we propose a research resource knowledge graph model to meaningfully express the relationship between the scattered various outcome data. In this paper, it contributes to the improvement of the service of the national research data platform DataON by meaningfully connecting national R&D task information, researcher information, performance information, and research data information.

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Science and Technology Research Support Service Trends for Open Science Era (오픈 사이언스 시대를 위한 과학기술 연구지원 서비스 동향 분석)

  • Kim, Soon;Lee, Boram;Kim, Hwanmin;Kim, Hyesun
    • Journal of the Korean Society for information Management
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    • v.34 no.3
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    • pp.229-249
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    • 2017
  • Open science projects are being actively carried out globally. Publishing the results of public research (publications and data) in digital format and enhancing access to these materials are getting more important. Various research support tools are being used to support open research, open access, open data, open peer review and open research performance evaluation. We analyzed research support services to prepare open science movement in Korea. Korea is not ready for research data management and research collaboration except open access and institutional repositories. It can be seen as an urgent matter to analyze these international open science research support services carefully and reflect them in research support policy and service guideline.

A Study on the Appraisal of Research Records in Science and Technology : Focusing on Foreign Cases (과학기술분야 연구기록의 평가에 관한 연구)

  • Lee, Mi-Young
    • The Korean Journal of Archival Studies
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    • no.41
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    • pp.75-111
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    • 2014
  • With the quantitative growth of research data, the issue of enormous preservation cost and sharing expansion, the organizations should prioritize the collections then select the data that are worthy of save. Therefore, today, it is important for the organizations to appraise the continuing value of produced records. Considering the universities and the public institutions such as governmentfunded research institutes as the heavy producer of the data, it becomes a rising problem for the records management that it does not go beyond the framework of "administrative records" and "public records". In this study, I looked into the background of the contention that the research records must be managed in a different perspective and checked the characteristics of research records in therms of the producers, research activities and records. Based on this analysis, I suggested the main issues and considerations about the subjects, criterias and methods in research records appraisal.

A Study on Analysis of Research Data Repository in Humanities and Social Sciences (re3data를 기반으로 한 인문사회 RDR 연구)

  • Cho, Jane;Park, Jong-Do
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.30 no.2
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    • pp.69-87
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    • 2019
  • As the discussions on sharing research data prevail by the chance of the inauguration of the International Open Data Charter, research support organizations in the United States, the United Kingdom, and Japan are encouraging researchers to deposit their findings in a credible repository. Humanities and social sciences field, in which research data sharing culture and storage infrastructure are immature compared to life science and natural science, also needs to establish and operate a reliable storage infrastructure to guarantee the continuous access and utilization of data. This study analyzed the overall operational status of 305 subject repositories registered in re3data for the humanities and social sciences and clustered them according to the operational level using 5 indicators. As a result, 70% of the population were identified as universal clusters, and 20% of the excellent cluster was found to have the largest number of linguistic fields and the German-operated. In addition, this study confirmed through correspondence analysis that there is a relation between the sub-theme fields of humanities and social sciences and the types of data to be archived. The history and art domians are related to images, and social studies are related to statistical data. Linguistics has also been analyzed to be related to audio, plain text, and code.

An Analysis of Data Management Policies of Governmental Funding Agencies in the U.S., the U.K., Canada and Australia (국외 정부연구비지원기관의 연구데이터 관리정책 분석 - 미국, 영국, 캐나다, 호주를 중심으로 -)

  • Kim, Jihyun
    • Journal of the Korean Society for Library and Information Science
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    • v.47 no.3
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    • pp.251-274
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    • 2013
  • This study aims to analyze data management policies offered by 15 government funding agencies in the U.S., UK, Canada, and Australia, and to make recommendations for developing data management policies in Korea. For the analysis of data management policies, five criteria were suggested based on literature review as follows: 1) the definition of research data, 2) principles of data management, 3) data management plan, 4) the implementation of data management, 5) legal and ethical issues. It was found that there was no policy that covers all the criteria for the analysis. Several funding agencies, however, commonly dealt with each criteria in their data management policies. Based on the findings from the analysis, this study made the following suggestions: First, data policies provide definitions and types of research data based on the understanding of data creation in the fields of funding interests. Second, data policies include principles of data management applicable to data practices in Korea. Third, data policies implement data management plans to promote responsibility of researchers for managing data. Fourth, data policies specify data management implementations to facilitate and support data sharing practices. Fifth, data policies should minimize legal and ethical challenges in data sharing through the review of the applicability of related laws and regulations and their improvement.

A Study on the Strategies for Publishing Data Journals in the Field of Ecology: Focused on K Institution (생태학 분야 데이터 저널 발행 전략 연구 - K기관을 중심으로 -)

  • Jung, Youngim;Kwon, Ohseok;Kim, Kidong;Kim, Sohyeong;Seo, Tae-Sul;Kim, Suntae
    • Journal of Korean Library and Information Science Society
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    • v.51 no.4
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    • pp.83-100
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    • 2020
  • The importance of data publishing in the open-science era is increasing as it can contribute to other scientific discoveries by accelerating the sharing of research data, improving accessibility and citability, and providing standardized technical documentation for research data. In addition, the need for data papers is emerging as a way for data papers to maintain a status equivalent to research papers, and the publication of data journals is on the rise as a new type of scholarly publishing. In particular, the field of Ecology is a field where large-scale research data are produced and managed, thus the data journal publishing in this field is active worldwide. On the other hand, the research on data journal is in its early stages in Korea, and there is no data journal in the field of Ecology. Thus, this study explores and presents strategies for publishing data journals in the ecological field. First, we investigate the publishing status of domestic and international data journals and the publication status of domestic journals. Then, we conducted a focused group interview with experts of scholarly publishing, open access policy and journal publishing in the field of Ecology. Finally, based on the survey and the expert FGI's results, strategies are suggested in terms of publishing data journals in the field of ecology, organizing and publishing journals, organizing journal editors, and receiving manuscripts.

4차 산업혁명의 주요 이슈 분석

  • Jeon, Jeong-Hwan
    • Proceedings of the Korea Technology Innovation Society Conference
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    • pp.69-69
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    • 2017
  • ${\Box}$ 연구목적: 4차 산업혁명의 주요 이슈 분석 ${\bullet}$ 4차 산업혁명시대에 인공지능, 자율주행, 무인운송, 3D 프린터, 스마트팩토리..등 다양한 이슈가 등장 ${\bullet}$ 어떠한 이슈들이 있는지 분석하고자 함 ${\Box}$ 연구방법론: 빅데이터 분석기법 중에서 토픽 모델링을 활용 ${\Box}$ 연구데이터: 2013년1월부터 2017년3월까지 4차 산업혁명 관련 신문 기사 활용.

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