数据质量维度与框架研究综述

为了对数据质量维度有一个全面、清析而准确的定义，便于在领域层面达成一致，也为从现存的数据质量管控技术架构中选择出合适的框架提供依据，对数据质量的发展历程和维度以及其管控框架进行了全面的研究。通过研究明确了复杂的数据质量维度指标，按其名称和定义提供一套比较全面的数据质量规范，并对其质量管控技术框架进行了综合研究与对比。该研究能科学地指导具体应用需求选择合适的数据质量框架和比较全面的数据质量维度实现对数据的评估，同时可节省大量的时间，减少人力和物力支出。

Review of Data Quality Dimension and Framework

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 theassessment by overall data quality dimensions，it is helpful to reduce unnecessary manpower and material resources．