Regulatory functions have long discussed the quality of the data in regulatory information management (RIM) systems, and various data entry models have waxed and waned over the years. According to current research, there is no correlation between the data entry model and the quality of the data in RIM systems. However, this article argues that managing data in research and development (R&D) silos is the key reason for variable data quality across the R&D data value chain, and that a change in how R&D operations functions are organised could be the secret to success.