• Title/Summary/Keyword: research data management

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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 Study on the analysis of Research Data Management and Sharing of Science & Technology Government-funded Research Institutes (과학기술분야 출연연구기관 연구데이터 관리 및 공유 사례 분석 연구)

  • Park, Miyoung;Ahn, Inja;Nam, Seungjoo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.4
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    • pp.319-344
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    • 2018
  • As a part of the open science policy, this study compared the perception of research data sharing and utilization by academic field. Based on this, in - depth interviews were conducted with semistructured questions to the data task managers of 27 government - funded research institutes in science and technology. Among them, nine excellent organizations were selected from the viewpoint of data management and cases of research data collection and management were specifically presented. The State of the collection and management of research data by the participating research institutes is generally a pilot project stage, and the level of collection and establishment of data also differs by institution. In terms of institutions, they are divided into three levels: the level of collection and establishment of data(KIOM), the advanced level of it (KIST), And level of steps to start sharing (KRIBB, KRICT).

PLM System Development for Data Management of KSLV-II Program (한국형발사체개발사업 정보 관리를 위한 PLM 시스템 구축)

  • Kwon, Byung-Chan;Park, Chang-Su;Kim, Keun-Taek
    • Journal of Aerospace System Engineering
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    • v.8 no.2
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    • pp.49-54
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    • 2014
  • The main purpose of Korea Space Launch Vehicle II(KSLV-II) Program is to develop a domestic launch vehicle that can deliver a 1.5ton class application satellite into a Low Earth Orbit(600~800km). The data management is an essential factor in systems engineering for success of large-scale complex systems development, and it systematically manages the information and technical data for the total life-cycle of a system. In this paper, data management policies and processes on KSLV-II program are presented, and product life-cycle management system for KSLV-II program is also presented.

DEVELOPMENT OF DATA INTEGRATION AND INFORMATION FUSION INFRASTRUCTURE FOR EARTH OBSERVATION

  • Takagi Mikio;Kltsuregawa Masaru;Shibasaki Ryousuke;Ninomiya Seishi;Koike Toshio
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.22-25
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    • 2005
  • The 10 Year Implementation Plan for a Global Earth Observation System of Systems (GEOSS), which was endorsed at the Third Earth Observation Summit in Brussels in February, 2005, emphasizes the importance of data management facilities for diverse and large-volume Earth Observation data from inhomogeneous information sources. A three year research plan for addressing this key target of GEOSS has just approved as the first step by the Japanese government. The goals of this research are, (1) to develop a data management core system consisting of data integration and information fusion functions and interoperability and information service functions; (2) to establish data and information flows between data providers and users; (3) to promote application studies of data integration and information fusion, especially in the fields of weather forecasting, flood forecasting, agricultural management, and climate variability and changes. The research group involves leading scientists on information science and technology, who have been developing giant data archive servers, storage area networks, metadata models, ontology for the earth observations. They are closely cooperating with scientists on earth sciences, water resources management, and agriculture, and establishing an effective collaborative research framework.

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A Study on the Current Status of Research Data Management by Researchers in Each Academic Field: Focusing on Library and Information Science, Statistics, Ecology, and Korean Musicology (학문분야별 연구자들의 연구데이터 관리 현황에 관한 연구 - 문헌정보학, 통계학, 생태학 및 한국음악학을 중심으로 -)

  • Juseop, Kim;Suntae, Kim;Yeonjung, Han;Won-Jae, Youe;Paul, Jeon;Seong Jun, Yang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.4
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    • pp.229-247
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    • 2022
  • As part of open science, the government adopts a national research data sharing and utilization strategy, forms a governance system at the national level, and promotes policies for research institutes to implement. Although the policy for managing research data is carried out centering on the academic world, it is insufficient compared to developed countries, and even this is a reality in which researchers do not have enough awareness to introduce it to the field. The purpose of this study is to understand the research data management status of researchers in each academic field. Academic fields consisted of four fields including Library and Information Science, Statistics, Ecology, and Korean Musicology, and the current status of data management was identified through a survey. The current status of research data management was analyzed from the perspective of research data production, sharing and management, saving, preservation and reuse. As a result of the study, it was found that there were differences by discipline in terms of data production, data sharing and management, data preservation, and data reuse, except for data savings.

Data Technology: New Interdisciplinary Science & Technology (데이터 기술: 지식창조를 위한 새로운 융합과학기술)

  • Park, Sung-Hyun
    • Journal of Korean Society for Quality Management
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    • v.38 no.3
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    • pp.294-312
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    • 2010
  • Data Technology (DT) is a new technology which deals with data collection, data analysis, information generation from data, knowledge generation from modelling and future prediction. DT is a newly emerged interdisciplinary science & technology in this 21st century knowledge society. Even though the main body of DT is applied statistics, it also contains management information system (MIS), quality management, process system analysis and so on. Therefore, it is an interdisciplinary science and technology of statistics, management science, industrial engineering, computer science and social science. In this paper, first of all, the definition of DT is given, and then the effects and the basic properties of DT, the differences between IT and DT, the 6 step process for DT application, and a DT example are provided. Finally, the relationship among DT, e-Statistics and Data Mining is explained, and the direction of DT development is proposed.

a Study on Using Social Big Data for Expanding Analytical Knowledge - Domestic Big Data supply-demand expectation - (분석지의 확장을 위한 소셜 빅데이터 활용연구 - 국내 '빅데이터' 수요공급 예측 -)

  • Kim, Jung-Sun;Kwon, Eun-Ju;Song, Tae-Min
    • Knowledge Management Research
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    • v.15 no.3
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    • pp.169-188
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    • 2014
  • Big data seems to change knowledge management system and method of enterprises to large extent. Further, the type of method for utilization of unstructured data including image, v ideo, sensor data a nd text may determine the decision on expansion of knowledge management of the enterprise or government. This paper, in this light, attempts to figure out the prediction model of demands and supply for big data market of Korea trough data mining decision making tree by utilizing text bit data generated for 3 years on web and SNS for expansion of form for knowledge management. The results indicate that the market focused on H/W and storage leading by the government is big data market of Korea. Further, the demanders of big data have been found to put important on attribute factors including interest, quickness and economics. Meanwhile, innovation and growth have been found to be the attribute factors onto which the supplier puts importance. The results of this research show that the factors affect acceptance of big data technology differ for supplier and demander. This article may provide basic method for study on expansion of analysis form of enterprise and connection with its management activities.

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The Implementation of Database Building System for Korean Medical Paper Database (한의학술논문 데이터베이스 구축을 위한 입력 및 검수 시스템 개발)

  • Yea, Sang-Jun;Kim, Ik-Tae;Jang, Yun-Ji;Seong, Bo-Seok;Jang, Hyun-Chul;Kim, Sang-Kyun;Kim, An-Na;Song, Mi-Young;Kim, Chul
    • Korean Journal of Oriental Medicine
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    • v.18 no.3
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    • pp.141-146
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    • 2012
  • Objectives : KIOM(Korean Institute of Oriental Medicine) built up korean medical paper database and services it through information portal OASIS. The database are updated about 1,600 papers and 48,000 references annually. Because lots of manpower and time are needed to update database, it is very important to raise up efficiency and quality of it. Methods : In this paper, we implemented web based database building system utilizing pre-built OASIS' database to improve the working process, data quality and ease of management. Results : First we designed and implemented web based system to input bibliography of the paper efficiently. It raised efficiency using OASIS' paper and reference database. Second we improved the refining process using web based system to raise up data quality. And third we developed the manager functions of web based system to control and check the working process. Conclusions : If we add korean medical dictionary and link outside paper database in the future, we hope that work efficiency and data quality will be raised more. And because the database schema of OASIS system and developed system are different, we are implementing the data transformation system.

A Case Study of OLAP and Data Mining on the Analytical Knowledge Creation in Organizations (OLAP과 데이터마이닝을 이용한 조직내 분석지 생성에 관한 사례연구)

  • Cho, Jae-Hee
    • Knowledge Management Research
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    • v.5 no.1
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    • pp.69-82
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    • 2004
  • Prior research on knowledge management focused more on the experiential knowledge based on individual's experience or knowhow than on the analytical knowledge extracted from corporate data. This study examines the effects of the data warehouse technology, especially OLAP(on line analytical processing) and data mining techniques, on the analytical knowledge creation in organizations, linking analytical knowledge creation to data analysis method through real world case studies.

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An Encoding Method for Presentation of ISO 19848 Data Channel and Management of Ship Equipment Failure-Maintenance Types (ISO 19848 데이터 채널 표현과 선박 기관장비 고장·유지보수 유형 관리를 위한 코드화 기법)

  • Hwang, Hun-Gyu;Woo, Yun-Tae;Kim, Bae-Sung;Shin, Il-Sik;Lee, Jang-Se
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.134-137
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    • 2020
  • Recently, there are emphasized to support the maintenance and management system of vessels using acquired data from engine part equipment. But, there are limitations for data exchange and management. To solve the problem, the ISO published ISO 19847 and 19848. In this paper, we analyze the ISO 19848 requirements related to identify data channel ID for ship equipment, and propose the examples for applying encoding techniques. In addition, we suggest the proposed technique for applying of managing the failure and maintenance type of the ship's engine part facilities by examples. If this method is applied, the vessel's equipment can exchange data through the sharing of the code table, and express what response is needed or acted, including where the failure occurred.