As our industry moves toward a common, global understanding of how business rules should be used to understand and improve our data, we need to understand what “quality” means to E&P data management. Depending on data type, good quality data may mean data that is current, correct, complete, conformant to business rules, or consistent. Members would like to determine what kinds of metrics should be used to measure the relative “quality” of data as it passes from user to user through the life cycle of the data and the business object it represents.
This work group will create a set of baseline quality dimension definitions, and a framework for understanding which dimension is important to various data types at various stages of its life cycle. Secondly, the workgroup will work to create a set of common quality “measurement” values that can be applied across industry with a common understanding of what they mean, and how they should be measured.
May 20, 2008
