As a scientist, you will want to produce high-quality experimental results. One way to achieve this is through the use of best practice. Undoubtedly, different scientific disciplines will have their own best practices. Hence, it is not the intent of this chapter to deal with best practice that covers all eventualities in every discipline. Nonetheless, there are some best practices that are generic in nature, in which all scientists should be familiar with. As such, I will be covering best practice approaches on method development, method validation, data analysis, how to achieve quality assurance and how to record information into laboratory books.
KeywordsBest practice Method development Method validation Quality assurance Reference materials Round robin Standard documents Errors Uncertainty Traceability Statistic Data analysis
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