[GD6] Data quality

particular application. That standard varies from one application to another. In general, however, the key criteria are how much uncertainty is present in a data set and how much is acceptable. Judgments about fitness for use may be more difficult when data are acquired from secondary rather than primary sources. Aspects of data quality include accuracy, resolution, and precision. Concepts of data quality, error, and uncertainty are also covered in Knowledge Areas CF Conceptual Foundations (in a theoretical context) and GC Geocomputation (in the context of analysis); the focus here is on the measurement and assessment of data quality.

Self assessment

GI-N2K

Outgoing relations