Reproducibility has become a major concern for researchers. Technology, and especially the development of high-throughput techniques, now allows the modern scientist to generate, process, and access more data than ever before. Yet while science is constantly pushing boundaries and delving into increasingly complex problems, the support systems present in a typical laboratory are struggling to keep pace, creating potential reproducibility issues. Paradoxically, scientists will try to reduce human error by investing in state of the art instrument automation while still using pen and paper to record experimental tweaks, observations, and data.
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