• Title/Summary/Keyword: national framework data

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Organization of Marine Framework Data and plan for progress (해양기본지리정보의 선정 및 추진 방안)

  • 박찬혁;최우철;박홍기
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.419-426
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    • 2004
  • The national framework data is being constructed by the second plan of NGIS(National geographic information system). However, themes of national framework data are not reflecting various geographic information of marine that demand is increasing. Also, it is mean that national framework data did not consider concept of country which is integrate land and marine. Therefor, this study perform to organize marine framework data through analysis of overseas framework data, and present the composition of national framework data that land and marine are integrated through investigate relationship between national framework data and marine framework data.

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Study on the Maintenance of National Framework Data for NGIS (NGIS를 위한 국가기본지리정보 유지관리 방안)

  • 조은진;박홍기
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2003.04a
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    • pp.443-450
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    • 2003
  • Our country is constructed the digital map in the first NGIS plan. Through digital map construction, it was had the potentiality that can more easily activate GIS. But these data included numerous problems from user's view. In the second NGIS plan, our government try to construct the framework data for the maximization of GIS utilization. This paper is showed a step of update that considered relationship between the national framework data themes, suggested the structure of maintenance activity for national framework data.

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Developing a National Data Metrics Framework for Learning Analytics in Korea

  • RHA, Ilju;LIM, Cheolil;CHO, Young Hoan;CHOI, Hyoseon;YUN, Haeseon;YOO, Mina;Jeong Eui-Suk
    • Educational Technology International
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    • v.18 no.1
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    • pp.1-25
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    • 2017
  • Educational applications of big data analysis have been of interest in order to improve learning effectiveness and efficiency. As a basic challenge for educational applications, the purpose of this study is to develop a comprehensive data set scheme for learning analytics in the context of digital textbook usage within the K-12 school environments of Korea. On the basis of the literature review, the Start-up Mega Planning model of needs assessment methodology was used as this study sought to come up with negotiated solutions for different stakeholders for a national level of learning metrics framework. The Ministry of Education (MOE), Seoul Metropolitan Office of Education (SMOE), and Korean Education and Research Information Service (KERIS) were involved in the discussion of the learning metrics framework scope. Finally, we suggest a proposal for the national learning metrics framework to reflect such considerations as dynamic education context and feasibility of the metrics into the K-12 Korean schools. The possibilities and limitations of the suggested framework for learning metrics are discussed and future areas of study are suggested.

A Study on Evaluation of the Priority Order about Framework Data Building (기본지리정보 구축 우선순위 평가에 관한 연구)

  • 김건수;최윤수;조성길;이상미
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.361-366
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    • 2004
  • Geographic Information has been used widely for landuse and management, city plan, and environment and disaster management, etc., But geographic information has been built for individual cases using various methods. Therefore, the discordancy in data, double investment, confusion of use and difficulty of decision supporting system have been occurred. In order to solve these problems, national government is need to framework database. This framework database was enacted for building and use of National Geographic Information System and focused on basic plan of the second national geographic information system. Also, the framework database was selected of eight fields by NGIS laws and 19 detailed items through meeting of framework committee since 2002. In this research, The 19 detailed items( road, railroad, coastline, surveying control point etc.,) of framework database consider a Priority order, In the result of this research, the framework database is obtain to a priority order for building and the national government will carry effectively out a budget for the framework database building. Each of 19 detailed items is grouping into using the priority order of the framework database by AHP analysis method and verified items by decision tree analysis method. The one of the highest priority order items is a road, which is important for building, continuous renovation, and maintain management for use.

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Maintenance and Development of National Framework Data (국가기본지리정보 구축 및 유지관리 방안)

  • 조현태;김명호;박홍기;김감래
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.04a
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    • pp.329-335
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    • 2004
  • Until now, The our concept about a national geospatial data infrastructure have been concentrated on a field of producer. This concept is the trend which the focus have been inverted currently with the use to process data in an user viewpoint and to the compatibility of the database. But the standard of our national framework data is defective yet. Also, The law and policy are not clear and the concept recognition of users lacks. This paper is showed improvement plan of development and maintenance of the national framework data, and researched the relationship between the national framework data.

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Analysis on the Present Condition of National Framework Data for the Disaster GIS (소방방재 GIS를 위한 국가 기본공간정보의 현황 분석)

  • Park, Hong-Gi
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.29 no.6
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    • pp.659-666
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    • 2011
  • The absence of present accurate geospatial information can cause us to undergo severe problems in controlling the complicate and multiplicate disaster. Our country is trying to build the Disaster Spatial Data Infrastructure (DSDI), and the key information is the national framework data. This study aims to investigate the characteristics of disaster spatial data, and analyze the present conditions and problems of national framework data, and suggest the way to improve for the GIS application system. In order to provide a wide range of services through the national geospatial data integration system, the data management authority should be established to maintain the consistency of quality and data accuracy of the entire national spatial data infrastructure. In addition, the step-by-step update plan of the national geospatial data should be determined by means of the framework data. And the basic data (lowest common denominator) should be formulated to maintain the data consistency of national spatial information infrastructure.

Proposed Data Literacy Competency Framework through Literature Analysis

  • Hyo-suk Kang;Suntae Kim
    • International Journal of Knowledge Content Development & Technology
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    • v.14 no.3
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    • pp.115-140
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    • 2024
  • With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

A Study on Selecting Geospatial Framework Data Using Factor Analysis (요인분석을 이용한 기본공간정보 선정에 관한 연구)

  • Choe, Byong Nam;Lee, Ji Hun;Park, Jin Sik;Kang, In Gu
    • Spatial Information Research
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    • v.23 no.5
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    • pp.53-64
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    • 2015
  • Several countries have built National Spatial Data Infrastructure (NSDI) for information sharing among various fields. One of the important factors of NSDI is framework data, which is the most commonly used geospatial data across various fields. Previous studies on the framework data suggest components based on frequency survey and case study. However, such research methods do not have objectivity in setting the components of the framework data. This research uses factor analysis with 104 medium-level layers from the most widely used National Base Map and 5 layers from the other sources including cadastre and aerial image. Each layer is scaled with usage level as four different patterns of 1) background data, 2) reference data, 3) base data, and 4) other data, respectively. The analysis results show that the layers are grouped into 5 to 7 factors according to the patterns. ANOVA reveals that the mean differences between the factors with high values and the other factors with low values under each pattern are statistically significant. Such high value factors under each pattern consist of similar layers, close to identical, with those under the other categories. This research proposes framework data system, including transportation, building, hydrography, elevation, administrative district, digital orthoimagery, geodetic control, and cadastral based on the analysis results. Proposed framework in this research will be a basis of establishing spatial data sharing system. For sharing proposed framework data in various fields, these data must be established and distributed as actual standard and also related future researches should be performed.

Big data-based piping material analysis framework in offshore structure for contract design

  • Oh, Min-Jae;Roh, Myung-Il;Park, Sung-Woo;Chun, Do-Hyun;Myung, Sehyun
    • Ocean Systems Engineering
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    • v.9 no.1
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    • pp.79-95
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    • 2019
  • The material analysis of an offshore structure is generally conducted in the contract design phase for the price quotation of a new offshore project. This analysis is conducted manually by an engineer, which is time-consuming and can lead to inaccurate results, because the data size from previous projects is too large, and there are so many materials to consider. In this study, the piping materials in an offshore structure are analyzed for contract design using a big data framework. The big data technologies used include HDFS (Hadoop Distributed File System) for data saving, Hive and HBase for the database to handle the saved data, Spark and Kylin for data processing, and Zeppelin for user interface and visualization. The analyzed results show that the proposed big data framework can reduce the efforts put toward contract design in the estimation of the piping material cost.

A Study of the status and development strategy for national geospatial data framework in germany (독일의 국가공간정보기반 구축현황 및 발전전략에 관한 연구)

  • 양광식
    • Spatial Information Research
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    • v.9 no.1
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    • pp.155-169
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    • 2001
  • Although the strategies and experiences of GIS leading countries are considered for the implementation of NGIS-Development in Korea, the western european nations cases are not analysed. Based on this study focused on German approaches to establish and implement the construction of national geospatial data framework. The goals, construction strategies and contexts of german national framework data, it called authoritative topographic-cartographic information system(ATKIS) in germany, are presented in detail. As a result, some lessons are suggested that can be learned by german approaches. Because we are now standing on the phase of "A Second Master Plan for National Geographic Information System", the german approach can be very for the development of the national framework database in Korea.

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