Establish a plan for 'data quality assessments' as part of the data flow.Include quality metrics that can determine current data-quality status.Establish data-quality criteria and data-screening processes for all of the data you will collect.Describe approved data entry tools and procedures, when applicable.Describe a structure for data storage that can also facilitate checking for errors and help to document data quality.Periodic data-quality assessment using defined quality metrics.Data standards, structure, and domains consistent with community conventions for other data in the same subject area.Software and file types to use for data handling and analysis that support data quality goals.Field and lab methods and equipment that meet data-collection standards.Identify data quality objectives for your data or project.With a focus on quality goals, criteria, assessment, and validation methods, a QAP covers the full data lifecycle, from Acquisition through Publication, and can: << Back to Manage Quality Quality Assurance Plans: Recommended Practices
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