• 제목/요약/키워드: evaluation data

검색결과 16,513건 처리시간 0.052초

데이터 거버넌스 수준평가 모델 개발의 제안 (A Level Evaluation Model for Data Governance)

  • 장경애;김우제
    • 한국경영과학회지
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    • 제42권1호
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    • pp.65-77
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    • 2017
  • The purpose of this paper is to develop a model of level evaluation for data governance that can diagnose and verify level of insufficient part of operating data governance. We expanded the previous study related on attribute indices of data governance and developed a level model of evaluation and items. The model of level evaluation for data governance is the level of evaluation and has items of 400 components. We used previous studies and expert opinion analysis such as the Delphi technique, KJ method in this paper. This study contributes to literature by developing a level evaluation model for data governance at the early phase. This paper will be used for the base line data in objective evidence of performance in the companies and agencies of operating data governance.

정보 구조 그래프를 이용한 통합 데이터 품질 관리 방안 연구 (An Implementation of Total Data Quality Management Using an Information Structure Graph)

  • 이춘열
    • Journal of Information Technology Applications and Management
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    • 제10권4호
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    • pp.103-118
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    • 2003
  • This study presents a database quality evaluation framework. As a way to build a framework, this study expands data quality management to include data transformation processes as well as data. Further, an information structure graph is applied to represent data transformations processes. An information structure graph is absed on a relational database scheme. Thus, data transformation processes may be stored in a relational database. This kind of integration of data transformation metadata with technical metadata eases evaluation of database qualities and their causes.

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Development of Evaluation Perspective and Criteria for the DataON Platform

  • Kim, Suntae
    • Journal of Information Science Theory and Practice
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    • 제8권2호
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    • pp.68-78
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    • 2020
  • This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

고신대학교 의과대학 코호트 구축과 운영 사례 (Establishing and Operating Cohort Evaluation at Kosin University College of Medicine)

  • 김세진
    • 의학교육논단
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    • 제25권2호
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    • pp.114-118
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    • 2023
  • Multiple cohorts (e.g., current students and graduates) were formed to collect information on the entire educational process from admission to graduation regarding students' educational performances at Kosin University College of Medicine. Data that had already been collected and analyzed by different committees for different purposes were grouped into a more systematic and comprehensive system called the cohort system, enabling the necessary data to be collected promptly and analyzed in accordance with the purpose of providing meaningful information in each area of the educational process. Therefore, comprehensive cohort data that can be used for mission statement revision, curriculum development and improvement, student counseling, and student selection were established and utilized. The cohort data were collected from performance evaluation indicators including self-evaluation surveys, evaluation tools for learning outcomes, academic achievement, results of the Korean Medical Licensing Examination, and career placement. Based on the results obtained by analyzing cohort data, a comprehensive cohort report has been published. The data analyzed through the cohort were reported to each committee and used in various ways. Currently, however, only some data have been analyzed and used. In the future, after complete data collection, the cohort data can be used as meaningful basic data for achieving the institution's mission and educational goals, developing and improving the curriculum, counseling students, and selecting students through the analysis of learning performance data from student admission to graduation and after graduation.

게임의 멀티미디어 데이터 품질평가지표 연구 (A study of Multimedia Data Quality Evaluation Metrics of the Game)

  • 윤선정
    • 한국컴퓨터정보학회논문지
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    • 제18권9호
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    • pp.63-70
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    • 2013
  • 게임의 멀티미디어 데이터는 그 품질에 따라 게임의 몰입에 영향을 준다. 예술적인 품질은 평가기준을 설계하기가 어렵지만 기술적인 관점에서 평가할 수 있는 부분에 대해서는 평가기준을 설계하는 것이 품질의 신뢰성과 객관성을 확보할 수 있다. 그러나 게임의 멀티미디어 데이터에 대한 품질평가 기준은 아직 설계된 것이 없다. 따라서 본 연구에서는 게임의 멀티미디어 데이터에 대한 품질평가 요소를 추출하고, 추출 요소에 대한 신뢰성을 검증하였다. 그리고 각 요소에 대한세부평가내용을 정의하고, 평가지표를 개발하였다. 본 연구의 결과는 고품질의게임 개발에 가이드 역할을 하며 게임산업의 성장에 긍정적인 영향을 줄 것으로 기대한다.

시스템엔지니어링 프로세스에 의한 국방 분석평가자료 수집체계 연구 (A study of data acquisition system of defense analysis & evaluation by systems engineering process)

  • 최순황;민성기
    • 시스템엔지니어링워크숍
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    • 통권4호
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    • pp.135-140
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    • 2004
  • Defense analysis & evaluation includes menace analysis, validation analysis, problem analysis, scientific technical analysis, technical trad-off analysis, alternative analysis, cost analysis, etc. Reliable related data is required to perform these analysis activities efficiently. but in case of these defense analysis & evaluation data acquisition system, the data is insufficient and scattered about each organization. the data of database system is also not utilized sufficiently. abroad technical data is also low level data such as catalog or military officer's collection. therefore, this paper propose defense analysis & evaluation data acquisition system by systems engineering process. we also propose construction method of data acquisition system.

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시스템엔지니어링 프로세스에 의한 국방 분석평가자료 수집체계 연구 (A study of data acquisition system of defense analysis & evaluation by systems engineering process)

  • 민성기;최순황
    • 시스템엔지니어링학술지
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    • 제1권2호
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    • pp.69-76
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    • 2005
  • Defense analysis & evaluation includes menace analysis, validation analysis, problem analysis, scientific technical analysis, technical trade-off analysis, alternative analysis, cost analysis, etc. Reliable related data is required to perform these analysis activities efficiently. but in case of these defense analysis & evaluation data acquisition system, the data is insufficient and scattered about each organization. The data of database system is also not utilized sufficiently. Abroad technical data is also low level data such as catalog or military officer's collection. Therefore, this paper propose defense analysis & evaluation data acquisition system by systems engineering process. we also propose construction method of data acquisition system.

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교량유지관리시스템에 있어서 비파괴 시험의 효율적 활용 방안 (Use of Nondestructive Evaluation Methods in Bridge Management Systems)

  • 심형섭
    • 한국콘크리트학회:학술대회논문집
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    • 한국콘크리트학회 2000년도 가을 학술발표회 논문집(II)
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    • pp.1291-1296
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    • 2000
  • A basis for the direct use of data from nondestructive evaluation methods in bridge management systems is presented. Bridge management systems use integer-valued condition ratings to recognize conditions of bridge elements, to model progression of deterioration, and to determine repair needs. Data from nondestructive evaluation methods can inform management systems on the extent of damage, on the initiation of deterioration processes, and on the exposure of bridge elements to aggressive agents. In addition, data obtained through nondestructive evaluation methods allow the formation of models of specific deterioration process. The use of these data in bridge management systems requires redefinition of condition ratings together with the creation of procedures for automated interpretation of data. By these action, nondestructive evaluation methods are directly used to assign condition ratings, and condition ratings are made into terse form of NDE data that are compatible with present day bridge management systems. This paper reports work in progress to strategic use of nondestructive evaluation methods in bridge management system.