• 융합경영연구
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• 제10권3호
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• pp.1-8
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• 2022

Purpose: This study aims to examine the effect of SMEs' R&D competence on management performance. Research design, data, and methodology: The empirical data of this study are derived from 2,375 SMEs that participated in the material, parts, and equipment research and development support project conducted from 2014 to 2018. Among them, 2,230 data were analyzed by classifying them into high-tech and low-tech fields. SPSS 24.0 was used for statistical analysis and correlation analysis and T-TEST were applied. Results: It was analyzed that the level of R&D organization, research personnel, and the number of patent registrations all affected operating profit and sales. In particular, it has been proven that research personnel have a greater impact on management performance among the level of R&D organization, research personnel, and the number of patent registrations. In addition, there was a difference between high-tech and low-tech industries in the impact on operating profit and sales, which are indicators of management performance. Conclusions: This study suggests that R&D competence are strengthened to advance the material, parts, and equipment industries and to promote future growth, while differentiated support is needed according to each company's R&D competence and technology level.

• 융합경영연구
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• 제5권2호
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• pp.1-9
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• 2017

This study has reviewed the "A survey on the relation between the employees' viewpoint with knowledge management and cultural intelligence among the employees working in Social Security Organization of Ardabil". The present study is functional in terms of objective and the method is descriptive and survey. This has asked the others' ideas and viewpoints concerning a specific subject and has analyzed them. About the nature and the method used, the present research is of correlation research. The population applied in this research includes all employees working in Social Security Organization of Ardabil consisting of 400. The method used for sampling is simple random sampling. To collect the information in the first step of the research the library method has been used. In this research the data has been collected through standard questionnaires. Then, via descriptive and inferential statistics the research data has been characterized and regarding the spatial scaling of the measurement to test the hypothesis the, correlation analysis of Pearson has been used and also to specify the reliability of the questionnaire the Chronbach's Alpha has been taken in use and the SPSS software to analyze the data also. The findings resulted from the study showed that there is a significant relation between the factors concerning employees' efficiency with knowledge management and the cultural intelligence and all hypotheses was confirmed.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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• pp.291-296
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• 1998

The DAta management and Communication NETworks (DACONET), Which it is designed as a subsystem for Man-Machine Interface System of Korea Advanced LIquid MEtal Reactor(KALIMER MMIS) and advanced design concept is approached, is described. The DACONET has its roles of providing the real-time data transmission and communication paths between MMIS systems, providing the quality data for protection, monitoring and control of KALIMER and logging the static and dynamic behavioral data during KALIMER operation. The DACONET is characterised as the distributed real-time system architecture with high performance, Future direction, in which advanced technology is being continually applied to Man-Machine interface System Development of Nuclear Power Plants, will be considered for designing data management and communication networks of KALIMER MMIS

• Journal of Information Science Theory and Practice
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• 제8권4호
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• pp.20-28
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• 2020

In this study, the RDA DMP Common Standard (RDCS), a data model for implementing a machine actionable Data Management Plan (maDMP), was analyzed in four aspects. First, the twelve class models proposed by RDCS were analyzed. Second, whether the DMP attribute was included in the class attribute was analyzed. Third, we analyzed the namespace used for RDCS properties. Fourth, the values and identifiers used in RDCS properties were analyzed. As a result of the analysis, four directions for improvement were derived. First, it is necessary to add an academic record class to describe information such as papers and reports, which are representative academic documents. Second, the primary research institution, responsibility, resources, option attribute, and additional attributes are needed to describe the researcher's affiliation information. Third, it is necessary to additionally use a namespace such as Friend of a Friend that can be used universally. Fourth, the use of digital object identifier should be considered to identify academic literature.

• 한국경영과학회지
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• 제42권3호
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• pp.25-34
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• 2017

K-means is a popular and efficient data clustering method that only uses intra-cluster distance to establish a valid index with a previously fixed number of clusters. K-means is useless without a suitable number of clusters for unsupervised data. This paper aimsto propose the Group Search Optimization (GSO) using Silhouette to find the optimal data clustering solution with a number of clusters for unsupervised data. Silhouette can be used as valid index to decide the number of clusters and optimal solution by simultaneously considering intra- and inter-cluster distances. The performance of GSO using Silhouette is validated through several experiment and analysis of data sets.

• Genomics & Informatics
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• 제3권1호
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• pp.39-42
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• 2005

DNA microarray is a high-throughput biomedical technology that monitors gene expression for thousands of genes in parallel. The abundance and complexity of the gene expression data have given rise to a requirement for their systematic management and analysis to support many laboratories performing microarray research. On these demands, we developed Xperanto for integrated data management and analysis using user-friendly web-based interface. Xperanto provides an integrated environment for management and analysis by linking the computational tools and rich sources of biological annotation. With the growing needs of data sharing, it is designed to be compliant to MGED (Microarray Gene Expression Data) standards for microarray data annotation and exchange. Xperanto enables a fast and efficient management of vast amounts of data, and serves as a communication channel among multiple researchers within an emerging interdisciplinary field.

• 한국비블리아학회지
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• 제25권3호
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• pp.165-189
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• 2014

본 연구에서는 미국 연구중심대학도서관에서 최근 구축 운영되고 있는 연구데이터관리(Research Data Management, RDM) 서비스의 구성요소와 웹사이트에서 제공되는 서비스의 내용을 분석하여 그 현황을 조사하였다. 미국 카네기분류에서 제시된 최고연구중심대학(RU/VH) 중 RDM 서비스를 제공하는 31개 대학도서관의 서비스 내용을 분석하였으며, 분석의 기준은 선행연구에서 제시된 서비스의 구성요소 9가지로 (1) DMP 작성지원; (2) 데이터 파일 정리; (3) 데이터 기술; (4) 데이터 저장; (5) 데이터 공유 및 접근; (6) 데이터 보존; (7) 데이터 인용; (8) 데이터관리 교육; (9) 데이터 지적재산권을 포함한다. 분석 결과 대다수의 기관에서 DMP 작성지원서비스를 운영하고 있었으며 절반 이상의 기관에서 데이터 기술과 데이터 보존 및 데이터관리 교육 서비스를 제공하고 있었다. 특히 학문분야별 데이터에 적합한 메타데이터 및 레포지터리로의 안내와 워크숍 또는 개별 컨설팅을 통한 교육에 초점을 맞추고 있음을 확인할 수 있었다. 향후 기관 내 혹은 기관 간 협력에 기반을 둔 RDM 서비스 운영과 서비스 담당자의 지식 및 역량에 대한 논의와 연구가 지속되어야 할 것이다.

• 지질공학
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• 제33권2호
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• pp.323-334
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• 2023

고준위방사성폐기물 처분을 위한 다양한 조사와 연구를 진행하는 과정에서 막대한 양의 자료가 생산되며 이를 관리하기 위한 자료 관리가 필요하다. 스웨덴의 SKB는 SICADA를 구축하여 부지선정, 평가, 해석, 분석 및 모델링에 활용할 수 있게 하였고, 독일의 BGE는 부지선정법에 따라 자료를 관리하기 위해 데이터베이스 및 문서 관리시스템 ArbeitsDB와 자료시스템 ELO를 구축하였다. 영국의 NWS는 DMS를 구축하여 연구, 조사 자료를 관리할 수 있도록 하였다. 미국의 DOE와 OCRWM은 부지특성화 조사를 진행하면서 자료 관리 및 이후의 인허가 절차를 위하여 TDMS를 구축하였다. 해외사례 조사, 분석을 통해 자료의 품질관리와 자료 활용의 확장성이 자료 관리에 있어 중요한 부분임을 확인할 수 있다. 향후 우리나라도 장기적인 관점에서 자료의 품질관리와 확장성을 고려한 자료 관리 개념을 확립하고 그에 맞춘 자료 관리 시스템 및 체계를 구축해야 할 것이다.

• 한국경영과학회지
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• 제39권2호
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• pp.1-19
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• 2014

Recently, one of the core keywords in information technology (IT) as well as areas such as business management is big data. Big data is a term that includes technology, personnel, and organization required to gather/manage/analyze collection of data sets so large and complex that it becomes difficult to manage and analyze using traditional tools. The military has been accumulating data for a long period due to the organization's characteristic in placing emphasis on reporting and records. Considering such characteristic of the military, this study verifies the possibility of improving the performance of the military organization through use of big data and furthermore, create scientific development of operation, strategy, and support environment. For this purpose, the study organizes general status and case studies related to big data, traces back examples of data utilization by Korean's national defense sector through US military data collection and case studies, and proposes the possibility of using and applying big data in the national defense sector.

• 한국문헌정보학회지
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• 제53권4호
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• pp.309-340
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• 2019

해외에서는 1990년대부터 데이터의 보존과 큐레이션을 위하여 데이터 라이프 사이클을 개발하였지만, 국내에서는 연구가 상당히 미흡한 실정이다. 본 연구에서는 연구 데이터 관리를 위한 데이터 라이프 사이클을 제안하기 위하여 DCC, ICPSR, IWGDD, DataONE, USGS 그리고 UKDA에서 개발된 데이터 라이프 사이클을 분석하였다. 분석 결과 공통적으로 도출된 구성 요소는 '계획', '생성 및 수집', '프로세스', '보존', '이관 및 폐기', '접근 및 이용', '기술', '보장' 그리고 '백업 및 보안' 등 9개이다. 또한 9개의 구성 요소를 단계별로 세분화하여 해당 단계에서 수행되어야 할 세부 내용을 기술하였다. 향후 국내에서 연구 데이터 관리를 위한 데이터 라이프 사이클을 개발할 때 본 연구의 내용을 적용할 수 있을 것으로 기대한다.