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Quality framework for different types of data sources in official statistics.

What is it about?

The quality of official statistics is dependent on the quality of data sources used as input. Different types of data sources are used to produce statistics: survey, administrative and big data. For each type of source, there are different ways to assess their quality. A downside of this, is that the quality assessments are hard to compare. A comparison between sources is especially important when multiple data sources are combined to create one statistics.

Why is it important?

This article proposes a single framework to assess quality of data sources that is applicable to all types of sources and results in comparable conclusions for all types of data sources. When a statistic is based on two or more data sources of different types, their quality can now be assessed in the same way and a fair comparison can be made.

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The following have contributed to this page:
Yvonne Gootzen
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