Quality checkpoints: Recommendations

Define which steps should be checked before proceeding to the next one in order to ensure result quality without wasting resources. Find the balance that works in your facility to maximize the output quality while keeping it manageable (timewise and cost-wise).

Implement check points at strategic places so that they are most effective at monitoring quality in order to achieve rigorous and reproducible results.

The following checkpoints are especially important. At the stages, the process should be checked (by the core facility or PI or another scientist, depending on the discussed responsibility distribution) and can only proceed if it passes quality control.

Checkpoints	Recommendations
Experimental design	CFs should provide information and advice on the experimental design and encourage their users to follow good research practices. They should check the experimental design and reject any ill-designed project.
Sample quality	CFs should control sample quality before starting the experiment and reject poor samples. In case of limiting or rare samples, CFs should discuss with their users what consequences the sample quality will have on data interpretation and if the experiment should continue.
Data analysis	CFs and PIs should decide who will be responsible for checking the correctness of data analysis.
Publication	CFs should be informed before the data produced at the CF are submitted for publication to have a last possibility to check them if they wish to.