All data maintained within Xentara has a data quality associated with it. The quality denotes how reliable the value of the skill data point is. Xentara defines the following four types of quality:

Quality	Meaning
good	The value was successfully acquired. Values with this quality have been acquired in the normal way without any errors or issues.
acceptable	The value was acquired in an acceptable way, but some problem occurred. Values with this quality were acquired successfully, but may have reduced precision or accuracy. This may be due to using an alternate, inferior data source, to some non-critical error situation, or because a sensor or such is operating under conditions where the accuracy is reduced. Values with quality “acceptable” can still be used as inputs to control circuits, simulations, etc., but the results may not be as good as when using values with quality “good”.
unreliable	There was a problem acquiring the value, and it should not be relied upon. Values with this quality can used for informational purposes, but are not reliable enough for system critical uses, such as control ciruits, safety systems, etc.
bad	The value could not be acquired correctly. Values with this quality either could not be acquired at all, or a serious error was encountered, like exceeding the range of a sensor.

The quality is accessible via the quality attribute of the associated data point or skill data point.