Data integrity is crucial for achieving reliable outcomes and regulatory compliance. Data integrity centers on quality, reliability, trustworthiness, and completeness. Automation plays a key role in streamlining data integrity protocols for modern laboratories. Scientists can use network-compatible instruments to record and collect generated data.
Download this infographic to explore how these instruments can simplify data integrity compliance by replacing manual, paper-based procedures.
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Lab safety rules dictate that one must tie back long hair. Rosemarie Hansen learned the hard way when an open flame turned her locks into a lesson.
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