데이터 품질관리 체계 수립-질병 데이터를 중심으로-

Abstract

As interest in data analysis increases, the value of the data itself is increasing. This led to concerns about the quality of the accumulated data. In each field of society, there is an increasing tendency to improve the quality of data to increase the value of the data for qualitied data analysis. This tendency is prominent in the field of disease management. The problem is that most of the disease data are used by various research groups, government agencies, and the reliability and effectiveness of the data is low due to the lack of data standardization during the integration process. In addition, error data is scattered because the designing of each database is not efficiently performed and analog data created before the information technology is diffused are not managed sufficiently so that the meaning and accuracy of the data cannot be secured in proper level. In these situations, it is very difficult for the data analysis to have a practical effect, and there is a high possibility of misinterpretation and prediction. As a result, this leads to erroneous decision-making and policy failures and erroneous decision causes unnecessary cost and loss. Therefore, in this paper, we propose a data quality management system for the database system that is actually operated to improve the data quality in the long term view.