Structured Data Storage for Data-Driven Process Optimisation in Bioprinting

Bioprinting is a method to fabricate 3D models that mimic tissue. Future fields of application might be in pharmaceutical or medical context. As the number applicants vary between only one patient manufacturing tissue for high-throughput drug screening, designing process will necessitate high degree flexibility, robustness, as well comprehensive monitoring. To enable quality by design optimisation future application, establishing systematic data storage routines suitable automated analytical tools highly desirable first step. This manuscript introduces workflow design, documentation within an electronic lab notebook and monitoring supervise product over time at different locations. Lab notes, corresponding metadata are stored hierarchy research infrastructure Kadi4Mat, which allows continuous, flexible structuring access management. support experimental workflow, additional features were implemented enhance build upon functionality provided including browser-based file previews Python tool combined filtering extraction data. The structured management with Kadi4Mat enables retrospective grouping usage technology connecting individual analysis software machine-readable exchange formats.