Scientists can ensure that their data are reliable by repeating trials during an experiment. This helps to minimize the impact of random errors and increases the reliability of the results. Additionally, scientists can also ensure data reliability by following standardized experimental protocols, performing controls to validate their experimental setup, recording values with proper units and accuracy, using quality assurance measures, and ensuring transparency by sharing their data and methodology with the scientific community for scrutiny and replication.
