Journal of Jilin University (Information Science Edition) ›› 2018, Vol. 36 ›› Issue (4): 444-451.

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Review of Data Quality Dimension and Framework

YUAN Man1,LIU Feng1,ZENG Chao2,XIE Lan1   

  1. 1. School of Computer and Information Technology,Northeast Petroleum University,Daqing 163318,China; 2. Data Center,Huabei Oilfield Company,Renqiu 062552,China
  • Online:2018-07-24 Published:2019-01-18

Abstract: The aim is to make people has a overall,clear and accurate definition about data quality dimension for facilitating an agreement at the field level,and also provides the basis for choosing appropriate framework from existing data quality control technical architecture. This thesis carries on the overall research of development of data quality,data quality dimensions and data quality control framework. By studying complex data quality dimensions,define their names and definitions to provide an overall data quality specifications and understand data quality dimensions correctly. By researching and contrasting data quality control technology framework,provides a basis for the reasonable choice according to the field requirements. The research results can guide the field to choose the appropriate data quality framework according to their own needs scientifically and realize the
assessment by overall data quality dimensions,it is helpful to reduce unnecessary manpower and material resources.

Key words: data, data quality, data quality dimension, data quality framework

CLC Number: 

  • TP311.13