QA/QC activities should be integrated across which stages of a project?

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Multiple Choice

QA/QC activities should be integrated across which stages of a project?

Explanation:
Quality assurance and quality control must be integrated throughout all phases of a project. Starting with planning, a QA/QC approach sets data quality objectives, establishes procedures, assigns responsibilities, and defines documentation standards so everyone follows the same rules from the outset. As data are collected, field QA/QC keeps measurements trustworthy through things like instrument calibration, standardized sampling procedures, field blanks, duplicates, and a clear chain of custody. During data processing and analysis, QA/QC checks catch transcription or processing errors, coding mistakes, and biases that could distort results. In reporting, QA/QC ensures metadata, data provenance, and uncertainty are clearly documented and that conclusions are tied to verified data. Limiting QA/QC to a single phase would leave other stages vulnerable to errors or misinterpretation—planning without verification can miss gaps, data collection without ongoing checks can produce flawed data, and reporting without validation can undermine credibility.

Quality assurance and quality control must be integrated throughout all phases of a project. Starting with planning, a QA/QC approach sets data quality objectives, establishes procedures, assigns responsibilities, and defines documentation standards so everyone follows the same rules from the outset. As data are collected, field QA/QC keeps measurements trustworthy through things like instrument calibration, standardized sampling procedures, field blanks, duplicates, and a clear chain of custody. During data processing and analysis, QA/QC checks catch transcription or processing errors, coding mistakes, and biases that could distort results. In reporting, QA/QC ensures metadata, data provenance, and uncertainty are clearly documented and that conclusions are tied to verified data. Limiting QA/QC to a single phase would leave other stages vulnerable to errors or misinterpretation—planning without verification can miss gaps, data collection without ongoing checks can produce flawed data, and reporting without validation can undermine credibility.

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