[Designing and implementation of the data quality control in the information system of air pollution and health impact monitoring].

Objective: To implement the data quality control in the information system of air pollution and health impact monitoring, and improve the data quality.

Methods: Building the rule database recognized by the computer through summarizing and refining data quality verification rules to control the data quality through off-line quality control and on-line quality control.

Results: The data quality control in the whole process is realized, which includes data collection, toolkit verification, document verification, data checking and data auditing.

Conclusion: The information system of air pollution and health impact monitoring has realized the automatic data quality control, which can provide the experience and demonstration for the other surveillance and scientific research.