Collaboration is the backbone of scientific discovery. However, the nature and context of scientific collaboration vary across disciplines. The demographic makeup of a group, number of allocated resources, and organizational objectives may all influence collaboration. The key to a successful collaboration among scientists lies in the socio-technical infrastructure of a group, especially those who facilitate research through primarily virtual means. The Joint Lab for Extreme Scale Computing (JLESC), is an International Virtual Research Organizations (IVRO) home to seven different super and petascale computing research institutions. The purpose of JLESC is to enhance research and promote collaboration high performance computing research. Within JLESC’s research groups, various levels stakeholders including Ph.D. students, postdoctoral researchers, permanent computer scientists, and temporary researchers collaborate within an organizational structure. The socio-technical elements of collaborations such as the structure of meetings and conferences are likely important influences on student and postdoctoral development. This project attempts to develop an integrated model of collaboration by examining 51 project teams located within JLESC’s research network. This study collected data through multiple methods. Engagement was examined through participation in research groups. Collaboration objective, success, and satisfaction were identified from surveys and focus groups. Organizational structure and functioning were identified through annual reports and other organizational documents. Based on the Input-Process-Output model, this research developed a model of team-based collaboration that can be applied to various collaborative contexts.