• Journal of the Korean Society for Library and Information Science
• /
• v.58 no.2
• /
• pp.151-175
• /
• 2024

This study analyzes the current status of research data management at NST-affiliated government-funded research institutes for the purpose of promoting the sharing and use of research data, and based on this, suggests methods for establishing a research data sharing and management system. The survey on the status of research data management was conducted twice in 2022 and 2023 for a total of 20 research institutes. In addition, difficulties and areas that need to be improved in the management and sharing of research data were identified, and based on this, methods for establishing a research data sharing and management system were proposed by dividing them into policy aspects, system aspects, and linkage system construction aspects. In order to establish a research data sharing system, it would be desirable to prepare a policy basis and present contents such as the definition of research data, scope of application, contents of management, utilization method, and leading institutes. In addition, for systematic and unified research data management, it would be recommended that each institute will establish and manage a repository and management system. By linking this with DataON, the national research data platform, and providing one-stop services, the accessibility and usability of data will be improved.

• Korean Journal of Computational Design and Engineering
• /
• v.20 no.3
• /
• pp.254-262
• /
• 2015

This study proposes an approach to Product Data Management (PDM) education for collaborative product data management, which can support collaborative product development process. This approach introduces social media and a PDM system into a framework for PDM education supported by consistent product development process and product data model. It has been applied to two PDM classes and the result shows that the social media in PDM education can support not only experiences of the collaborative product data management but also interactive and informal communications among instructors and participants using integrated social media with product data during courses.

• Journal of Information Management
• /
• v.39 no.4
• /
• pp.155-171
• /
• 2008

We constructed the integrated management system of distributed astronomical data of Bohyunsan Optical Astronomy Observatory(BOAO), Sobaeksan Optical Astronomy Observatory (SOAO), and Mt. Lemmon Optical Astronomy Observatory(LOAO). The observed data was stored in the archive of the observatory and MySQL table is saved in the integrated management system. There are data archive managers in the observatories and they manage the integrated management system such as data storing, head information extraction, table generation, and management of web pages, etc. The users can search and download all the data in the integrated management system web page. The concept of this system - send queries from web page to the observatory archives - is the same of the basic concept of virtual observatory. This research is one of the main work in the Korean virtual observatory which is take part in the international virtual observatory alliance.

• Microbiology and Biotechnology Letters
• /
• v.31 no.2
• /
• pp.182-190
• /
• 2003

As DNA microarrays are widely used recently, the amount of microarray data is exponentially increasing. Until now, however, no domestic system is available for the efficient management of such data. Because the number of experimental data in a specific laboratory is limited, it is necessary to avoid redundant experiments and to accumulate the results using a shared data management system for microarrays. In this paper, a system named WEMA (WEb management of Micro Arrays) was designed and implemented to manage and process the microarray data. WEMA system was designed to include the basic feature of MIAME (Minimal Information About a Microarray Experiment), and general data units were also defined in the system in order to systematically manage the data. The WEMA system has three main features: efficient management of microarray data, integration of input/ouput data, and metafile processing. The system was tested with actual microarray data produced by a molecular biology laboratory, and we found that the biologists could systematically manage and easily analyze the microarray data. As a consequence, the researchers could reduce the cost of data exchange and communication.

• Journal of Advanced Navigation Technology
• /
• v.22 no.3
• /
• pp.198-204
• /
• 2018

In this paper, It proposed the development of integrated data management's prototype system for aviation accident and incident system. With the recent development of the aviation accident investigation equipment, accident investigation system should collect and manage the various types of jpg, avi, and wav data files. However, the ECCAIRS system does not have a separate database for managing the various generated data during the accident investigation. And the Korea aviation accident management system also has the same problem. Therefore, in this paper, we analyze the aviation accident report system of major foreign countries and prepare a method to apply it to the domestic environment. Through the prototype of the integrated data management system, we confirmed the performance through inputting the existing data and the recently investigated data. We will use this result as basic data for completion of final integrated data management system.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2000.04a
• /
• pp.397-400
• /
• 2000

This paper provides a product data representation, a data schema and related operations, for the management of engineering changes. The computer Interpretable format of the representation enables itself to be realized through databases and their applications to a component of a product data management system. Supporting general operations for the engineering changes, it resolves problems of the existing information systems in the nested engineering changes and the simultaneous change application to multiple products. To show the feasibility, a prototype system is implemented based on the representation.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.42 no.3
• /
• pp.25-34
• /
• 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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2024.05a
• /
• pp.27-30
• /
• 2024

A digital platform government without boundaries between the public and private sectors and between government ministries is impossible without national data management. Logical verification was carried out in this study following the definition of the national data management system's purpose, elements, and mode of implementation. Specifically, it was broken down into three dimensions in an effort to review different aspects: the management subject, the management method, and the designation target of national data. Finally, a description of the national master data management system and organization was given. The direction for the implementation of the digital platform government will be presented by this study.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.05a
• /
• pp.127-128
• /
• 2019

The cost of procurement in construction projects varies depending on the type of project, but the proportion of the cost component is very large. Therefore, efficient procurement system operation affects the success of the project. However, difficulties arise in procurement management due to problems such as availability of data due to limited information, inaccurate scheduling and integration of costs. Therefore, the purpose of this study is to develop a procurement management system to help efficient communication decision by combining Big Data which can analyze a lot of information and Block Chain technology which can secure information and record reliability to satisfy the above requirements. The results of this study are used to develop a system to develop academically improved procurement management system and practically to develop a system to secure business competitiveness and to facilitate rapid communication among project participants.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.8B
• /
• pp.1003-1011
• /
• 2011

In this paper, a real-time multi-source sensor data management system based on wireless sensor network is proposed and implemented. The proposed management system is designed to transmit the wireless data to the server in order to monitor and control the multi-source target's status efficiently by analyzing them. The proposed system is implemented to make it possible to control and transmit the wireless sensor data by classifying them, of which data are issued from the clustered sources composed of a number of the remote multiple sensors. In order to evaluate the performance of the proposed system, we measure and analyze both the transmission delay time according to the distance and the data loss rate issued from multiple data sources. From these results, it is verified that the proposed system has a good performance.