• 한국지리정보학회지
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• 제10권4호
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• pp.153-167
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• 2007

독도에 대한 연구는 여러 분야에서 수행되고 있으나, 독도의 해양연구 자료에 대한 체계적인 관리와 지속적인 축적이 미흡한 실정이다. 특히 독도 및 독도주변해역의 해양환경 및 해양생태계 등 해양과학 자료의 체계적인 데이터베이스가 구축되지 못하였다. 따라서 독도 해양조사자료의 체계적인 관리와 효율적인 활용을 위한 공간기반의 GIS 데이터베이스 구축이 요구되며, 이를 수행하기 위한 설계 단계에서 GIS 기반의 해양데이터 모델 수립이 필요하였다. 본 연구에서는 기존의 해양관측자료를 수집하여 데이터 종류와 특성에 따라 GIS 기반의 프레임워크 자료(framework data), 연구조사자료(research data) 및 주제도 자료(thematic data) 등 세 개의 그룹으로 분류하였다. 또한 각 연구조사자료의 속성은 GIS 프레임워크 자료와 연계되도록 설계하였다. 이와 같은 통합적인 GIS 데이터 모델 수립의 연구 결과는 향후 독도 뿐 아니라, 다른 해역에서 관측된 해양연구자료의 관리시스템 개발에도 적용될 수 있을 것이다.

• 한국비블리아학회지
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• 제29권4호
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• pp.319-344
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• 2018

본 연구에서는 오픈사이언스 정책의 일환으로 학문분야별 연구데이터 공유 활용에 관한 인식을 비교분석하였다. 이를 기반으로 과학기술분야 정부출연연구기관 27개 기관 데이터 업무담당자를 대상으로 반구조화된 질문을 통하여 심층인터뷰를 실시하였다. 그 중 데이터 관리 면에서 우수기관 9개 기관을 선정하여 연구데이터 수집 및 관리현황 사례를 구체적으로 제시하였다. 결과 현재 출연연구기관의 연구데이터 수집 관리는 전반적으로 시범사업 단계이며, 데이터의 수집 구축 수준 또한 기관별로 상이하다. 기관별로 살펴보면 수집을 시작하는 단계(KIOM), 수집 관리가 고도화되고 있는 단계(KIST), 공유 활용을 시작하는 단계(KRIBB, KRICT) 등으로 구분된다.

• 항공우주시스템공학회지
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• 제8권2호
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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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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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.

• 한국비블리아학회지
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• 제33권4호
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• pp.229-247
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• 2022

오픈 사이언스의 일환으로 정부는 국가 연구데이터 공유 및 활용 전략을 채택하고, 국가 차원의 거버넌스 체제를 구성하여 연구기관이 이행하도록 정책을 추진하고 있다. 연구데이터 관리를 위한 정책이 학계를 중심으로 수행되고 있지만 선진국에 비해 미흡한 실정이며 이 마저도 현장에 도입하기에는 연구자의 인식도 부족한 현실이다. 본 연구의 목적은 학문분야별 연구자의 연구데이터 관리 현황을 파악하기 위함이다. 학문분야는 문헌정보학, 통계학, 생태학 및 한국음악학을 포함한 4개 분야로 구성하였으며 데이터 관리 현황은 설문조사를 통해 파악하였다. 연구데이터 관리 현황은 연구데이터 생산, 공유 및 관리, 저장, 보존 및 재사용 관점에서 분석하였다. 연구 결과, 데이터 저장을 제외하고 데이터 생산, 데이터 공유 및 관리, 데이터 보존 및 데이터 재사용의 경우 학문 분야별로 차이가 있는 것으로 파악되었다.

• 품질경영학회지
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• 제38권3호
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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.

• 지식경영연구
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• 제15권3호
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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.

• 한국한의학연구원논문집
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• 제18권3호
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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.

• 지식경영연구
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• 제5권1호
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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.

• 한국정보통신학회논문지
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• 제24권1호
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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.