| accuracy |                             Percentage
 |                     2 |                                 The extent to which the value is expected to be free from error, measured as a percentage of the data value. 100% means fully accurate. |         
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                            | computationalMethod |                             ComputationMethodEnum
 |                     3 |                                 Method of computation which has been used to compute this data value. |         
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                            | dataError |                             Boolean
 |                     0 |                                 Indication of whether the value is deemed to be erroneous by the supplier, (true = erroneous). If not present the data value is assumed to be ok. This may be used when automatic fault detection information relating to sensors is available. |         
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                            | numberOfIncompleteInputs |                             NonNegativeInteger
 |                     4 |                                 The number of inputs detected but not completed during the sampling or measurement period; e.g. vehicles detected entering but not exiting the detection zone. |         
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                            | numberOfInputValuesUsed |                             NonNegativeInteger
 |                     5 |                                 The number of input values used in the sampling or measurment period to determine the data value. |         
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                            | reasonForDataError |                             MultilingualString
 |                     1 |                                 The reason why the value is deemed to be erroneous by the supplier. |         
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                            | smoothingFactor |                             Float
 |                     6 |                                 Coefficient required when a moving average is computed to give specific weights to the former average and the new data. A typical formula is, F being the smoothing factor: New average = (old average) F + (new data) (1 - F). |         
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                            | standardDeviation |                             Float
 |                     7 |                                 The standard deviation of the sample of input values from which this value was derived, measured in the units of the data value.  |         
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                            | supplierCalculatedDataQuality |                             Percentage
 |                     8 |                                 A measure of data quality assigned to the value by the supplier. 100% equates to ideal/perfect quality. The method of calculation is supplier specific and needs to be agreed between supplier and client. |         
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