Bioprocessing 4.0 : Data and Beyond
Users find themselves in a jungle of software and lab equipment, with data transferred between systems by USB, excel, and email – very often in disparate formats. This can be from at-line, in-line or off-line sources. At-line experiments when conducted are often run manually further hindering sample traceability. The result of this is users spending considerable amount of their valuable time cleaning, annotating, joining and structuring their upstream bioprocessing data before they can start any significant analysis. In some instances, this ‘data wrangling’ takes longer than the actual run.