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The EmiMod research project (“Advancing Techniques for Measurement, Modeling, and Evaluation of Emissions in Livestock Buildings”) represents a co-operation of nine research institutions across Germany and encompasses 12 work packages. The project focuses on advancing methodologies to determine emission rates from livestock farming, with particular emphasis on improving data acquisition in animal-welfare-oriented barns with natural ventilation and outdoor yards. Targeted emissions include ammonia, greenhouse gases, odours, and bioaerosols. The primary objective is to simplify investigation methods and to develop adaptable assessment procedures that can be applied across diverse research aims. KTBL (Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V.) is responsible for project coordination as well as research data management. Within the project's research data management framework, all partners are required to create data management plans (DMPs) documenting the handling and lifecycle of the data collected in their work packages. Considering the complexity of a project involving different organizations, each contributing to different work packages, we decided to employ FAIRagros RDMO based service as a tool. In this contribution, we describe the process of creating the project's DMP template and its implementation in RDMO. Its structured, FAIR-aligned framework has proven highly effective in harmonizing procedures, supporting high-quality documentation in a less time-consuming and user-friendly way, and promoting interoperability across institutions. Furthermore, we outline the current data management workflow established in the project and illustrate how the RDMO tool supports this process. The poster was presented in the FAIRagro Community Summit 2026