National and international agencies have developed GLP guidelines for various industries (food, agriculture, pharmaceutical, clinical, environmental, etc.)
Insuring that chemical and physical measurements are made properly, interpreted correctly, and reported with appropriate estimates of error and confidence levels
Statistical procedures for data evaluation may have procedural details that are optional and arbitrary, with standards adopted within particular fields
Objective procedures implemented to continuously assess the validity of instrumental data and establish the continuing acceptable operation of laboratory instruments
If an instrument's performance is outside of the control limits, its use must be discontinued until the problem is fixed and the instrument is recertified
Maintaining the unmistakable connection between analytical data and the specimen/samples from which they were obtained, including the original source and chain-of-custody
Maintaining records of specimen/sample origins, chain-of-custody, raw and processed data, SOPs, instrument/reagent validation, analyst certification, etc. to provide documentation for legal challenges
This accountability places appropriate pressure on analysts to conduct studies with adequate care and concern, and allows for quicker identification of errors and corrective action