The overarching aim of the CRC MibiNet is to understand microbial networking ranging from intracellular processes on the level of organelles to complex cross-kingdom communities. The application of various techniques results in the generation of large quantities of diverse data. This INF project will guide data management according to the FAIR (findable, accessible, interoperable, and reusable) principles. To enable this, the CRC is building on existing platforms and standards of the NFDI4DataPLANT. The Annotated Research Context (ARC) container structure allows researchers to have data, metadata, and computational workflow in one place. Additionally, DataPLANT provides tools to describe metadata with relevant ontologies. The storage of the ARCs in the DataHUB allows collaboration and sharing of data with other members of the CRC project.

In addition, the INF project will integrate the electronic lab notebook solution eLabFTW for laboratory documentation, provide training, and help ensure its wide adoption in the CRC.

To foster exchange and synergies, we will develop an easily accessible web-based CRC database for sensors, microbial growth conditions, and media. Overall, we offer training, education, and help with data management and data description.