As always, the best approach to ensuring research integrity is robust data management practices. Every PI should ensure they have clear protocols about how data is acquired, reviewed, stored and shared and that all members of their lab understand and follow the data management protocols. Primary data, including the raw data, should always be reviewed prior to its use – in grants, abstracts, manuscripts or any other public forum – and should be stored such that it can be easily retrieved and reviewed when necessary. Robust data management and review is always the single best deterrent to future concerns.