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Managing data from protocol adjustment phases in scientific experiments

The challenge lies in properly treating data generated during the protocol adjustment phase of scientific experiments, particularly in distinguishing it from data that supports formal conclusions. This phase involves testing variations of a protocol without a formal design of experiments (DOE) process, making it difficult to determine the reliability and publishability of the data.

Science, Biology, Microbiology