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Go back to Data Model Work GroupsData Quality Measurement Work Group
Project Description
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.
Objectives and Vision
This project 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. Examples will be created to illustrate how the framework should be applied.
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.
Benefits
A consistent and comprehensive understanding of what quality means, and how an individual company’s data conforms to these definitions will help companies understand how useful their data is, and what may need to be done in order to resolve problems. It will also help to evaluate incoming data sources, so understand the effort and resources that will be needed to bring deficiencies up to corporate standards. As a result, the overall quality of data in our industry will improve, and user trust in the data will grow.
Sponsorship
Current sponsors
- This project is still in the planning stage
Contact us if you would like to sponsor or participate in this project.