Internal quality is generally approached from a data producer perspective and restricts quality to the dataset’s internal characteristics (i.e., intrinsic properties resulting from data production methods). This is important information for the data producer as well as for many external users and should be considered when creating your data. Guidelines and tools how to fill in this information in your metadata can be found under the links below.
External quality of a geospatial dataset corresponds to the concept of fitness for use.
Contrary to the internal data quality, which has a unique set of values for each specific dataset, the external data quality value will vary from one application to the other. External quality is approached from a data user point of view. External quality and perceived quality can be communicated using user warnings, lists of recommended and non-recommended usages, rating systems, etc.