Towards a deeper understanding of microbial communities: integrating experimental data with dynamic models

•Dynamic models are powerful tools to understand and engineer microbial communities.•Model frameworks vary across scales and require different types of experimental data.•Careful considerations should be given to model limitations and experimental designs.•Integrating multiple types of models and data expedites understanding and design.