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S. Winkler, R. Fuiko, A. Winkelbauer:
"iTUWmon - A monitoring network platform for automated data plausibility assessment and data integration";
Talk: IWA conference on `New Developments in IT & Water´, Amsterdam, The Netherlands; 2012-11-04 - 2012-11-06; in: "Proceedings", (2012).

In practice, monitoring stations are still often operated primarily as `data collectors´ with subsequent, mainly visual and manual, data quality assessment. This results in a situation where measurement errors are discovered long after the measurement took place - making diagnosis of the disturbance or error causes difficult if not impossible. The latter is also often linked with a lack of meta data and insufficient documentation.
In order to overcome these and other deficiencies of monitoring systems in practice, an intelligent monitoring network platform has been developed. Its key development goal was to maximise the availability of plausible data at minimum maintenance demand in field. It provides a number of important features such as (sensor) manufacturer independent data format, automated data quality assessment and classification, intelligent measurement cycle control meta data integration and automated extraction of information from data.

Data integration, data plausibility, data quality, data to information, monitoring networks