Survey Findings on Data Quality in Pharmacometric CROs

This document is a research report that presents findings from a survey conducted to assess data quality concerns within Contract Research Organizations (CROs) involved in pharmacometrics. The survey aimed to gather baseline information on data quality and standards, highlighting the challenges faced in achieving analysis-ready datasets. The report outlines that the majority of respondents indicated that the data they receive is rarely usable without significant cleaning and formatting. Key issues identified include improper formatting, missing data, and inconsistencies in data definitions. The report also details the time and cost implications of preparing data for analysis, with respondents reporting a range of 3 to 24 hours required to clean datasets, translating to costs between $750 and $6000 per dataset. Furthermore, the report discusses the necessity for automated solutions to enhance data quality and efficiency, while emphasizing the importance of collaboration and transparency among stakeholders in the life sciences sector.