Being objective, evaluating data in terms of accuracy, precision, repeatability and reproducibility and identifying potential sources of random and systematic error
1. An accurate measurement is one that is close to the true value
2. Measurements are precise if they cluster closely
3. Measurements are repeatable when repetition, under the same conditions by the same investigator, gives similar results
4. Measurements are reproducible if similar results are obtained by different investigators with different equipment
5. Measurements are affected by random error due to results varying in unpredictable ways; these errors can be reduced by making more measurements and reporting a mean value
6. Systematic error is due to measurement results differing from the true value by a consistent amount each time
7. Any anomalous values should be examined to try to identify the cause and, if a product of a poor measurement, ignored