| Since proposed the concept of relational data model in twentieth Century seventy,the rapid development of relational data and gradually applied to various industries. With open information technology and Big Data era, bring benefits from the huge amount of data, but also brought many negative effects, such as the dirty data increased. So in order to find ways to improve the quality of data has become an urgent need. In the production process data, enhance data quality control into the data producers and researchers concentrated on studying the subject.Mineral resource data has a data capacity, professionalism and other characteristics after analysis. In this paper, Mineral Resource Planning relational database in Xi’an as the research object to build relationship model, design constraint rules of the relational database. Construct data quality evaluation system, and study the quality assessment algorithm under the constraint rules. On this basis, design the quality control model and the quality evaluation model based on the constraint rules. At the same time explore the methods of data quality assessment. Initially completed the data quality inspection system, and proposed the design ideas and implementation models.In this paper. Firstly, it explore the relationship between the data from different angles. This paper reflects the completeness, consistency, accuracy and timeliness of the relational database by defining constraint rules, to analyses different levels of data quality issues, also shows that purpose about data quality issue. Secondly, it’s establishment of data quality evaluation index based on constraint rule, define the evaluation algorithm, establish quality control model and quality evaluation model and so on. to rich the research content with data quality control, and reflect the systemic about data quality control studies. At the same time discussion on data quality assessment methods to deepen the data quality control study. |
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