Data quality and data assurance are essential components of all evaluation and research projects.  When working as a single evaluator or part of a unified team, ensuring common understanding of evaluation goals and approaches and fidelity in data collection methodologies can be simple.  However, these activities require greater thought and intentionality as teams get larger and more dispersed.  This poster presents findings and lessons learned from a large, multi-disciplinary, multi-national evaluation in Somalia.  The project included in-country partners and employed data collection enumerators from local study communities.  Language barriers combined with security challenges precluded visits by the US team to aid in enumerator training, observe data collection, or otherwise participate in in-country activities.  Thus, we needed to develop and enact strategies and tools that would minimize risks associated with miscommunication, misunderstanding, or misinterpretation.