A Fair Data Market System with Data Quality Evaluation and Repairing Recommendation

With the development of data market, data resources play a key role as the part of business resources. However, existing data markets are too simple to reveal the real data values in practical application. Motivated by the effectiveness and fairness of the data market, we develop a fair data market system that takes data quality into consideration. In our system, we design a fair data price evaluation mechanism, which aims at meeting the needs of both supply and demand. For the data quality issues in the data market, several critical factors, including accuracy, completeness, consistency, and currency, are integrated in order to show comprehensive assessment of the data. Moreover, our system can also provide data repairing recommendation based on data quality evaluation.

[1]  Wenfei Fan,et al.  Conditional Functional Dependencies for Data Cleaning , 2007, 2007 IEEE 23rd International Conference on Data Engineering.

[2]  Hamidah Ibrahim,et al.  Data quality: A survey of data quality dimensions , 2012, 2012 International Conference on Information Retrieval & Knowledge Management.

[3]  Yan Zhang,et al.  Accuracy Evaluation for Sensed Data , 2014, WASA.

[4]  Carlo Batini,et al.  Methodologies for data quality assessment and improvement , 2009, CSUR.

[5]  Hong Gao,et al.  Evaluation of Data Currency , 2012 .

[6]  Li Jianzhong,et al.  Algorithms for Improving Data Currency , 2015 .