Minimizing unreliable data involves rigorous experimental design, proper calibration of instruments, and thorough documentation of all experimental conditions. Additionally, peer review and replication studies play a crucial role in verifying data. Implementing standards like FAIR Principles (Findability, Accessibility, Interoperability, and Reusability) can also enhance data reliability.
