1. Data quality refers to the level of quality of data.
2. The fitness for use of information; information that meets the requirements of its authors, users, and administrators. (Martin Eppler)
Data Quality and Quality Criteria
Data, datasets, descriptive data and metadata have to meet "quality criteria, such as accuracy, completeness, consistency, and actuality. [...] Additionally, Open Data credibility and transparency are crucial in order for Open Data to be trustworthy. Origin, originality, and data changes must be traceable and quality features testable." (Fraunhofer FOKUS)
For further reading and guidelines with regard to data management and publication see for instance: Open Knowledge Foundation, Open Data Foundation and Software Carpentry (e.g. here).
Data Quality in the open energy database (oedb)
The quality of all datasets in the oedb is analysed and rated by defined criteria:
- Data integrity,
- based on geometry correctness and
- based on user evaluation.