For all systems which store, process, and retrieve data – such as thermal analyzers – data integrity is paramount. “Data integrity is the degree to which data are complete, consistent, accurate, ...

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Segment pipeline by design, materials, age, operating envelopes, and consequence categories (e.g., high-consequence areas). Set integrity performance standards, KPIs, and risk tolerability criteria.