• Title/Summary/Keyword: Research Data

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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.

Functional Requirements for Research Data Repositories

  • Kim, Suntae
    • International Journal of Knowledge Content Development & Technology
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    • v.8 no.1
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    • pp.25-36
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    • 2018
  • Research data must be testable. Science is all about verification and testing. To make data testable, tools used to produce, collect, and examine data during the research must be available. Quite often, however, these data become inaccessible once the work is over and the results being published. Hence, information and the related context must be provided on how research data are preserved and how they can be reproduced. Open Science is the international movement for making scientific research data properly accessible for research community. One of its major goals is building data repositories to foster wide dissemination of open data. The objectives of this research are to examine the features of research data, common repository platforms, and community requests for the purpose of designing functional requirements for research data repositories. To analyze the features of the research data, we use data curation profiles available from the Data Curation Center of the Purdue University, USA. For common repository platforms we examine Fedora Commons, iRODS, DataONE, Dataverse, Open Science Data Cloud (OSDC), and Figshare. We also analyze the requests from research community. To design a technical solution that would meet public needs for data accessibility and sharing, we take the requirements of RDA Repository Interest Group and the requests for the DataNest Community Platform developed by the Korea Institute of Science and Technology Information (KISTI). As a result, we particularize 75 requirement items grouped into 13 categories (metadata; identifiers; authentication and permission management; data access, policy support; publication; submission/ingest/management, data configuration, location; integration, preservation and sustainability, user interface; data and product quality). We hope that functional requirements set down in this study will be of help to organizations that consider deploying or designing data repositories.

Building GIS Data Model for Integrated Management of The Marine Data of Dokdo (독도 해양자료의 통합적인 관리를 위한 GIS 데이터 모델 수립)

  • Kim, Hyun-Wook;Choi, Hyun-Woo;Oh, Jung-Hee;Park, Chan-Hong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.10 no.4
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    • pp.153-167
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    • 2007
  • Dokdo research has been worked in various fields. However, the continuous accumulation and systematic management of Dokdo research data on marine science haven't been made. In particular, a systematic database system hasn't been established for the research data on marine environment and ecosystem in Dokdo and its surrounding sea. Therefore, GIS database construction on a spatial basis is required for the systematic management and efficient use of Dokdo marine research data, and a marine data model on a GIS basis is needed on the design stage to build the database. In this study, we collected previous observed marine data, and classified them as three groups, such as a framework data group on a GIS basis, a research data group and a thematic data group, according to the data types and characteristics. Moreover, the attributes of each research data were designed to be connected to GIS framework data. The result of the study to build an integrated GIS data model may be useful for developing a management system for marine research data observed in other sea as well as Dokdo.

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A Case Study of U.S. Academic Libraries' Research Data Support Services (미국 대학도서관의 연구데이터 지원 서비스 사례 연구)

  • Shim, Wonsik
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.4
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    • pp.311-332
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    • 2016
  • Academic libraries have actively responded to social requirements and changes in scholarly communication system. In recent years, social and scholarly requirements for systematic management and sharing of research data have become apparent. Major countries including U.S., UK and Australia have begun national policies requiring management and sharing of research data from publicly funded R&D projects. This case study identified four academic libraries in the US with active research data support services and analyzed them in terms of how they established dedicated unit and the extent of services in the areas of instruction, consulting and system support. The analysis provides context for academic libraries in Korea in formulating their future research data strategies. The core of the recommendation is primarily concerned with developing instructional services and strengthening library's capabilities for research data management and sharing.

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.

A Study on the Improvement Plans of the Humanities and Social Sciences Research Data Archives in Korea (국내 인문사회 연구데이터 아카이브의 개선방안에 관한 연구)

  • Shin, Young-Ran;Chung, Yeon-Kyoung
    • Journal of Korean Society of Archives and Records Management
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    • v.12 no.3
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    • pp.93-115
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    • 2012
  • This study aims to propose improvement plans of the Humanities and Social Sciences research data archives in Korea. For this purpose, literature reviews were conducted to prove the importance of the Humanities and Social Sciences research data and establish a theoretical basis for the concept and requirements of data archives. In addition, analysis of the Korean Research Memory (KRM), case surveys for a total of 9 domestic and international archives, and in-depth interviews with a total of 10 researchers in the field of the Humanities and Social Sciences were conducted as well. As for the improvement of the Humanities and Social Sciences research data archives in Korea, establishing a cooperative system between the National Research Foundation of Korea (NRF) and the field of the Humanities and Social Sciences was proposed first for data archives of each project. Secondly, a conceptual model of research data archives was designed in such a way that the archives would perform according to a life cycle of research data in the cooperative system, all based on data curation.

CANVAS: A Cloud-based Research Data Analytics Environment and System

  • Kim, Seongchan;Song, Sa-kwang
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.117-124
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    • 2021
  • In this paper, we propose CANVAS (Creative ANalytics enVironment And System), an analytics system of the National Research Data Platform (DataON). CANVAS is a personalized analytics cloud service for researchers who need computing resources and tools for research data analysis. CANVAS is designed in consideration of scalability based on micro-services architecture and was built on top of open-source software such as eGovernment Standard framework (Spring framework), Kubernetes, and JupyterLab. The built system provides personalized analytics environments to multiple users, enabling high-speed and large-capacity analysis by utilizing high-performance cloud infrastructure (CPU/GPU). More specifically, modeling and processing data is possible in JupyterLab or GUI workflow environment. Since CANVAS shares data with DataON, the research data registered by users or downloaded data can be directly processed in the CANVAS. As a result, CANVAS enhances the convenience of data analysis for users in DataON and contributes to the sharing and utilization of research data.

Metadata Element Design for Korean Medicine Research Data Management and Re-use (한의학 연구 데이터 관리 및 공유를 위한 메타데이터 요소 설계)

  • Yea, Sang-Jun;Jang, Ho;Kim, Suntae
    • Journal of the Korean Society for Library and Information Science
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    • v.53 no.2
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    • pp.223-246
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    • 2019
  • This research makes the metadata element design for Korean medicine research data management and re-use. Derived metadata elements are verified in research data of Korea Institute of Oriental Medicine. TTAK.K0-10.0976 Standard, DataCite metadata Schema and National Research Data Platform of KISTI were analyzed to derive the metadata elements. Including Identifier, 27 elements were derived as top-level elements with 29 mandatory elements, 13 recommended elements and 31 optional elements. The degree of elements' necessity and new metadata elements were investigated and suggested in the survey by six domain experts in korean medicine field. In this study subject classification for the korean medicine research data are suggested. The final version of metadata schema was tested and verified by comparing with the legacy metadata fields. The research results can be used to describe the Korean medicine research data: items and files.