The technical developments, especially in the field of imaging methods, are enormous. Still, the protocol status of the accompanying experimental processes is established at a poor level of digitization (as a hardcover lab book) or in isolated solutions within the working groups.

Due to the different and non-standardized data management, the advantages of data management according to FAIR principles or ‘FAIRification’ has not been fully exploited. An SFB with close interactions between researchers from various areas of biomedical sciences and shared instrumental infrastructure and the common PhD training program (IRTG) represents an ideal basis to established standards for FAIRification and optimize data management procedures.

To create a common Big Data resource that complies with the FAIR principles and enables interdisciplinary work with and on the data, in this INF project, we want to establish a platform with an integrated ELN and inventory management that enables common management of the various data types and their underlying experimental processes.

The lab-book will integrate the data management system set up in the last funding period specifically for microscopy data (INF and Z project of SFB 944) and the computing cluster of structural data analysis, which is tailored to the requirements of cryo-EM. For the management of mass spectrometry for proteomics and lipidomics and flow cytometry data, we are striving for uniform data management by introducing an ELN that explicitly supports these data types.