observationskvalitet
Observationskvalitet is the degree to which observations are accurate, reliable and fit for their intended use. The concept is used across scientific disciplines, engineering and statistics, and it encompasses several dimensions: accuracy, which refers to closeness to the true value; precision, the repeatability of measurements under unchanged conditions; bias, systematic error that skews results; reliability, consistency across repeated observations; validity, whether the observation measures the intended property; completeness, the extent to which all relevant variables are captured; timeliness, how current the observations are; resolution, the granularity of the data; and uncertainty, the estimate of error margins.
In practice, assessments of observationskvalitet involve study design, instrument calibration, standard operating procedures, and metadata documentation.
Examples: In meteorology, observationskvalitet depends on properly calibrated weather stations, standardized measurement protocols, and quality-controlled archives.
Strategies to improve observationskvalitet include regular calibration and maintenance of equipment, comprehensive training, standardized protocols, robust