• Title/Summary/Keyword: Data quality assessment

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Statistics Quality Assessment and Improvement of Monitoring on Soil Quality (토양오염도 현황 통계의 품질 진단과 개선 방안)

  • Kim, Kee-Dae
    • Journal of Environmental Science International
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    • v.18 no.10
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    • pp.1079-1088
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    • 2009
  • The statistics of monitoring on soil quality is a report statistics which is made on the basis of Article 15, Environment Strategy Basic Law and Article 5, Soil Environment Conservation Law. This study was conducted according to quality assessment of Korea National Statistical Office. The assessment of quality infrastructure advised that the authority bring up and increase completely responsible officer and secure the budget. The assessment of user satisfaction and reflection of request propose that the statistics is focused on soil background concentration, decrease soil sampling points and extend survey period. The assessment of error management system per processes of detailed preparation suggest change of the statistics objective, a reduction of sampling points and improvement of survey period and soil measurement properties. Accuracy assessment of data proposed cuts of sampling points, accessibility increment and build up of management system linking subordinates and Ministry of Environment. The substantiality assessment of data service demonstrated information environment improvement for users including reference expression and records of statistics table and figure contents.

A study on the quantitative risk grade assessment of initial mass production for weapon systems (초도양산 군수품에 대한 정량적 위험등급평가 방안 연구)

  • Jung, Yeongtak;Ham, Younghoon;Roh, Taegoo;Ahn, Manki;Ko, Kyungwa
    • Journal of Korean Society for Quality Management
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    • v.46 no.3
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    • pp.441-452
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    • 2018
  • Purpose: The purpose of this paper is to study quantitative risk grade assessment for objective government quality assurance activities based on risk management in initial mass production for weapon systems. Methods: The Defense quality management regulations and foreign risk assessment documents are referred to analyze problems performing quality assurance actives. The failure rate data, maintainability and cost of products have been studied to quantify the risk Likelihood and impact. The analyzed data were classified as risk grade assessment through K-means Cluster Analysis method. Results: Results show that a proposed method can objectively evaluate risk grade. The analyzed results are clustered into three levels such as high, middle and low. Two products are allocated high, eleven low and seven middle. Conclusion: In this paper, quantitative risk grade assessment methods were presented by analyzing risk ratings based on objective data. The findings showed that the methods would be effective for initial mass production for weapon systems.

Climate Data Qualification for Water Quality Impact Assessment (수질영향평가의 신뢰수준 향상을 위한 기상자료의 검정)

  • Lee, Khil-Ha;Cho, Hongyeon
    • Journal of Environmental Impact Assessment
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    • v.20 no.5
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    • pp.601-613
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    • 2011
  • This study is focused on a climate data integrity to improve water quality assessment due to the social development projects. The study is in an attempt to calculate both extreme ranges of weather data measurements and partly provide means to assess qualification of data which fall within the extremes at the 23 meteorological weather stations. Generally speaking, maximum temperature, minimum temperature, relative humidity, dew point temperature are in the range of reasonable accuracy. However, there found some outliers of the brightness sunshine hours in Cheonan station. Also some years in Gwangju, Seoul, Wonju, Busan, and Jeju never reach to their upper limit and perhaps the calibration of the equipment is doubtful. The users need to take cautions in using the brightness sunshine hour data in preparation of water resources planning and management by estimating evapotranspiration and river discharge, and/or growth rate of the algae (phytoplankton).

The Process Reference Model for the Data Quality Management Process Assessment (데이터 품질관리 프로세스 평가를 위한 프로세스 참조모델)

  • Kim, Sunho;Lee, Changsoo
    • The Journal of Society for e-Business Studies
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    • v.18 no.4
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    • pp.83-105
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    • 2013
  • There are two ways to assess data quality : measurement of data itself and assessment of data quality management process. Recently maturity assessment of data quality management process is used to ensure and certify the data quality level of an organization. Following this trend, the paper presents the process reference model which is needed to assess data quality management process maturity. First, the overview of assessment model for data quality management process maturity is presented. Second, the process reference model that can be used to assess process maturity is proposed. The structure of process reference model and its detail processes are developed based on the process derivation approach, basic principles of data quality management and the basic concept of process reference model in SPICE. Furthermore, characteristics of the proposed model are described compared with ISO 8000-150 processes.

Factors influencing the composite quality score from the quality assessment program for long-term care hospitals (요양병원의 입원급여 적정성 평가 결과에 미치는 영향 요인 분석)

  • Lee, Sang-Kab;Seol, Jin-Ju;Lee, Kwang-Soo
    • Korea Journal of Hospital Management
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    • v.25 no.3
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    • pp.78-86
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    • 2020
  • Purposes: This study purposed to identify factors influencing the composite quality score from the quality assessment program for long-term care hospitals Methodology: The study variables was obtained from HIRA(Health Insurance Review and Assessment Service): the composite quality scores and hospital variables such as number of doctors, nurses, beds, medical technicians, medical equipments, administrative region, ownerships from 3rd (2010) to 7th (2018) quality assessment program. National Statistical Portal(www.kosis.go.kr) provided the number of senior citizens aged over 65 in city·county·district area. SAS 9.4 was used for the data processing and used to analyze the data. Findings: The results showed that composite quality score increased past 9 years. Hospital variables such as number of doctor, nurse, medical technicians, bed and public hospitals had significant positive relationship with the composite quality score. Administrative region(district) showed higher scores compare to that of city. Compare to the score of quality assessment year(2010), as the assessment year move to 2012, 2013, 2015, 2018, results showed higher significant positive coefficients. Practical Implication: Continuously improve the performance of long-term care hospitals, current quality assessment program are needed to update their system such as adopting indicators measuring the service process, or compensating the cost for quality assessment program. It will enable to provide more reasonable and accurate performance assessment scores.

Evaluation of Survey Data Quality Based on Interviewers' Assessments: An Example from Taiwan's Election and Democratization Study

  • Tsai, Chi-lin;Liu, Tsung-Wei;Chen, Yi-ju
    • Asian Journal for Public Opinion Research
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    • v.7 no.1
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    • pp.57-74
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    • 2019
  • Researchers usually examine the quality of survey data by several conventional measures of reliability and validity. However, those measures are mainly designed to examine the quality of an individual measurement, rather than the quality of a data set as a whole. There is a relative lack of methods for evaluation of the overall data quality. This paper attempts to fill this gap. We propose using interviewers' assessments as one of criteria for evaluating the overall data quality. Interviewers are the ones who literally conduct and thus directly observe interviews. Taiwan's Election and Democratization Studies (TEDS) have required interviewers to assess how trustworthy the responses of each of their interviewees are, and to provide several descriptions about the process and environment of the interviews. We use this information to evaluate the data quality of TEDS surveys and compare it with the results from the conventional test-retest method. The findings are that the interviewer assessment is a fair indicator of the overall reliability of attitudinal questions but not a good indicator when factual questions are examined. Regarding the evaluation of data validity, more data is required to see whether or not interviewers' assessment is informative in terms of data quality.

A study on the Quality Assessment Method on Railway Video Transmission System (철도영상전송시스템의 화질평가방안에 관한 연구)

  • Chang Seok-Gahk;Cho Bong-Kwan
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1247-1252
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    • 2004
  • A objective quality assessment for the evaluation performance of a video transmission system as a basic step for construction of digital video transmission system between the spots and headquarter. Due to a limit of an analog video transmission system and the developments of various digital media and digital video standards, the need of introduce of a digital system are increased gradual1y, At this points. previously performance evaluations are performed and the quality assessment is the most important thing. We can be divided quality assessment method by the subjective quality assessment and objective quality assessment. The subjective quality assessment method has some problems which are required high cost and much time to evaluate the quality, And because existing objective quality assessment method such that PSNR are based on an analog form, the correlation with subjective data is very low. Therefore we design a new objective quality assessment method using Gabor wavelet transform reflecting HVS(Human Visual System), Designed objective quality assessment method is superior to other objective method such that PSNR or EPSNR In this paper, we proposed objective quality assessment using Gabor wavelet can be used for performance evaluation and verification of video transmission system.

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Data for EIA and Its Presentation in Korea (한국의 EIA 자료와 그의 활용)

  • Lee, Hyoun-Young
    • Journal of Environmental Impact Assessment
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    • v.2 no.2
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    • pp.73-83
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    • 1993
  • Increasing concern for the environment in Korea has led to the demand that major policies and large-scale development projects be subjected to detailed impact assessment. This paper reports on the state of data related to the prediction of the environmental impact (EIA) to emphasize the importance of data quality. Environmental impact statements (EIS) consulted with the Ministry of Environment of Korea were analyzed from 1981 through 1992. Many of assessors used existing data and collected supplementary data from field survey. Most of the results of EIA are presented directly or summarized on maps and as graphics. For the national purpose, large source of quality-controlled data such as atmospheric data have been developed, However, there are the deficiency in data to analyze the impact of human activity, and data gaps and incompatibilities among systems. Consequently, the development of data bank systems including computer database and remotely-sensed satellite data is required to improve the quality of data which are relevant to EIA. The data bank system should be organized meaningfully in minimum time with a least cost, and measurement standards must be made explicit. Geographical information systems (GIS) are applicable to the graphic presentation or to the impact prediction model.

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The Assessment of Coastal Water Quality Grade Using GIS (GIS를 이용한 연안 수질등급 평가)

  • Jeong, Jong-Chul;Cho, Hong-Lae
    • Journal of Environmental Impact Assessment
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    • v.15 no.1
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    • pp.45-52
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    • 2006
  • The purpose of this study is to assess spatiotemporal variation of coastal water quality according to time and location changes. For this we developed numerical marine trophic index base on four water quality components (chlorophyll, suspended solids, dissolved inorganic nitrogen and phosphorus) and applied this index to the water quality data measured in the korean coastal zone for the 7-years period from 1997 to 2003. Water quality data are obtained only at selected sites even though they are potentially available at any location. Therefore, in order to estimate spatial variation of coastal water quality, it is necessary to estimate the unknown values at unsampled locations based on observation data. In this study, we used IDW (Inverse Distance Weighted) method to predict water quality components at unmeasured locations and applied marine trophic index to predicted values obtained by IDW interpolation. The results of this study indicate that marine trophic index and spatial interpolation are useful for understanding spatiotemporal characteristics of coastal water quality.