Assessment of Metadata Quality
Metadata quality is intended as a tool for data owners to assess metadata against various indicators. For more information on the calculations we use for each indicator, check the details of the metadata quality for a specific dataset description. This page provides an overview of the metadata quality of organizations and an overview of the metadata quality for each dataset description available on data.norge.no. Currently, this only applies to dataset descriptions and not the other catalogs on data.norge.no.
What Metadata Quality Means
Data.norge.no has four levels of metadata quality:
| Level | Explanation |
|---|---|
| Excellent | This is great! 75% or more of the quality criteria are met. The description is informative and provides great value to the user, which should be the goal for all descriptions. |
| Good | 50-75% of the quality criteria are met. |
| Sufficient (should be improved) | Only 25-50% of the quality criteria are met, and the description should definitely be improved. |
| Poor | 25% or fewer of the quality criteria are met. The description is incomplete and rarely covers the needed information. |
Why We Measure Metadata Quality
We aim to help data owners improve the description of a dataset. By measuring metadata quality, we can identify which aspects of a dataset description have potential for improvement. To achieve the goal of the "Once Only" principle, which emphasizes data sharing, it is essential to have good documentation of dataset descriptions.
Norway is also compared to other European data catalogs, where one of the criteria is the measurement of metadata quality.
How We Measure Metadata Quality
The calculation of metadata quality is based on a range of criteria divided into categories according to the FAIR principles.
We have also referred to the European Data Portal's methodology for assessing metadata quality.