The INF project, entering its second phase, aims to evolve into a science-driven big data initiative with widereaching community impacts while continuing its core function as a data communication hub within the RESIST consortium. In Phase I, we successfully implemented a highly flexible and versatile data communication system based on electronic lab notebooks (eLabFTW), a collaborative data sharing platform (NextCloud), and a long-term object store (Ceph) with a highly adaptive frontend (Dataverse). Having this system in place, we will now initiate the above-mentioned transformation of this project in Phase II based on four specific objectives organised into distinct work packages (WPs). These include first the operation and updating our existing data communication system including adaptation to the new projects in Phase II and an extensive onboarding of the new members. Second, we will program automated data transfer from large-scale facilities (e.g., robotic units) to bolster swift data integration into electronic lab notebooks and our object-store. Third, we will setup a fast, comprehensive and uniform amplicon data analysis platform to directly contribute to Main Hypothesis 2 deciphering differences in community response and recovery between micro- and macroorganisms upon multiple stressor exposure. Finally, we will engage with the community and build upon the proposal of a data reuse identifier, a concept recently developed with a consortium of more than 150 supporting scientists across the globe, to bolster data reuse and metadata sharing from which all projects within RESIST and beyond can substantially benefit.