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A team of data-curation experts are involved with pre-specified initial and ongoing testing for quality assurance.
Examples
1: Anticipated and unanticipated data quality issues are identified and appropriate solutions/mitigation strategies are devised in a timely manner.
2: There is a process in place for ongoing systematic quality checking and analysis of data during data acquisition to identify unexpected data quality issues in order to remedy them in a timely manner.