Improvements in Data Quality Can Boost Efficiency and Reduce Development Costs

This report presents findings from a survey of Contract Research Organizations (CROs) focused on data quality concerns in the life sciences sector. The survey aimed to gather baseline information on data quality and standards, particularly regarding the creation of analysis-ready datasets. The results indicate that a significant majority of respondents reported that the data received was rarely usable without extensive cleaning and formatting. Key issues identified include improper formatting, missing data, and inconsistencies, which contribute to increased costs and delays in drug development processes. The report emphasizes the need for automated solutions to enhance data quality and efficiency, while also highlighting that automation alone cannot resolve all existing issues. Furthermore, it calls for transparent dialogue and collaboration among stakeholders to address these challenges effectively. The document outlines the methodology used for the survey, including the distribution to a diverse sample of CROs and the nature of the questions asked.