Effectively Managing Data In Process Development
By Alexander Kele, Senior Global Product Manager – Digital, Cytiva
The primary role of a process development (PD) scientist is to develop robust processes that can successfully transition from laboratory scale to a safe and reliable commercial manufacturing plan. Data management plays a critical role in doing this, as the decisions process developers make about critical quality attributes, process parameters, yield, purity, and other factors are based on information collected from a wide range of sources. Traditional ways for capturing, storing, querying, and managing data are time-consuming, prone to error, and can hinder collaboration. They also make it harder to find and access data already created.