NSF has a call for proposals for infrastructure supporting human networks research and data science (https://www.nsf.gov/pubs/2019/nsf19608/nsf19608.pdf). This project is developing a collaboration between IUNI, CADRE, and COS that could be supported by this grant mechanism. Problem: Science of science researchers try to gain insight into the scientific process, spread of ideas and practices, and the nature of how those ideas and behaviors spread across human networks. Most of the research on these questions is either highly laborious examinations of the research lifecycle for a single or small number of collaborations or networks, or large-scale analyses of published papers and the authors and citation networks that can be derived from them. There is very little access to substantial datasets that can reveal insights about the entire lifecycle of research and the behaviors during the conduct of the research process. Moreover, science of science researchers are largely limited to working with the state of data as it exists from systems that they do not control. This is highly limiting on the types of research questions that can be asked and examined effectively. Solution: COS operates the Open Science Framework (OSF), an infrastructure that supports collaborative management across the entire research lifecycle. The extensive logging system tracks behaviors by individuals and teams, and the evolution of projects over time. The aggregated logs also enable examination of social networks between users, how they evolve over time, and how behaviors such as data sharing, forking of projects, and registration spread across networks. With 175,000 users (currently growing by >220 per day), many thousands of projects, registrations, and papers, and millions of files stored and managed on OSF, it is already a very rich dataset for investigating the research lifecycle, researcher behaviors, and how those behaviors evolve in the social network. Moreover, we have the opportunity to improve the metadata and logging behavior in collaboration with human network researchers so that they can prospectively plan research investigations and design measures that will best fit the research questions rather than constraining the questions based on what measures are already present. CADRE is a secure service hosting large scholarly datasets for controlled sharing and use by researchers. CADRE could host the OSF network data and connect it with other datasets. IUNI is a leading organization in network science and supports a research community that is highly engaged in studying human networks, particularly the activities of the research community to advance knowledge. Together, we will foster a collaborative network of science of science researchers that study the research process to use and enrich the OSF metadata and logging infrastructure to support their research programs and complement the very rich investigations conducted on the outputs of that research process via the published literature. Proposal drafting here: https://docs.google.com/document/d/1dpwWjOFA5xvDr8tIZwqnvArWKhObHsGlYaq6l0ncLq4/edit?ts=5db09745