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Title: Data Integration Design For Pipeline Integrity Management - Important Metrics
Author: Michael Gloven
Source: American Gas Association 2003
Year Published: 2003
Abstract: New integrity management regulatory rulemakings and supporting industry standards such as ASME Standard B31.8S, Managing System Integrity of Gas Pipelines1, are driving natural gas pipeline companies to seek out innovations in technology and designs that support effective data integration. Proper data integration is the foundation for a cost effective integrity management program. This paper presents four important design metrics to consider for data integration as it specifically relates to pipeline integrity management. These metrics are 1) Data Alignment or the integration of disparate data sources to a common location or reference, 2) Data History or the consideration of temporal aspects of data and its relevancy in measuring, mining and tracking performance, 3) Data Normalization or the integration of disparate data sources that provide different names for the same attributes, and 4) Data Accuracy and Confidence.

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