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Metadata and quality. Hans Viggo Sæbø, Statistics Norway hvs@ssb.no. What is Quality?. ”Satisfy the customers needs and expectations at a competitive price” (Deming) Brief: ”Conformance to requirements” or ”fitness for use”. Quality and metadata. The users define quality
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Metadata and quality Hans Viggo Sæbø, Statistics Norway hvs@ssb.no
What is Quality? ”Satisfy the customers needs and expectations at a competitive price” (Deming) Brief: ”Conformance to requirements” or ”fitness for use”
Quality and metadata • The users define quality • What is quality in statistics? • Relevance and completeness • Timeliness and punctuality • Accuracy • Comparability and coherence • Accessibility and clarity • Improvement requires improvements in processes • Documentation (metadata) is necessary, both for the users and the producers
Total quality “User needs” are the point of departure for systematic quality work and for determining quality indicators. The users demand “product quality” which encompasses desired attributes of the product. Costs must be taken into account. Study of processes is a precondition for improvement. This includes the identification and measurement of key process variables affecting product quality and costs. User needs Product quality Process quality
Types of metadata (for quality management) • Documentation for the users of statistics • Understand and use statistics correctly • Overview and navigation • Consider quality • Documentation for data providers • Information needed to provide correct data • Process documentation for producers • Information to control and improve processes • Current Best Methods and benchmarking • Quality information (overlapping information for users and producers) Metadata = (Structured) documentation
Examples • Information for users: About the statistics etc. • Process information • Quality information: Products and processes (overlapping information above)
Quality information – about products EXAMPLE: Timeliness
Quality information - about processes EXAMPLE: Response rates in Statistics Norway
Conclusions • Many different approaches and metadata exist, user friendliness vary • Different needs (of external and internal users) have to be the point of departure for metadata approaches • The different needs can be taken care of by different metadata systems, or by different levels of (the same type of) metadata for different users • Systematic approaches should be promoted