**Abstract:** Reproducible Science and the Open Science Framework **Speaker:** Natalie Meyers Open, transparent and reproducible science is stronger science. Sharing scientific materials – and being transparent about the research process and its contributors – is desirable but not incentivized or facilitated enough. Publishing norms incentivize novel, positive results over complete reporting. Researchers produce a variety of materials during their research process: data, code, and other materials essential to reproducibility that may never actually appear or be made fully accessible in research publications. The Center for Open Science (COS) seeks to both facilitate and incentivize better practices by fostering communities, conducting metascience research on the overall process, and building infrastructure that makes it easier to conduct open science. This talk focuses on the infrastructure of reproducibility and interoperability with the Open Science Framework (OSF; http://osf.io), a free, open-source web application. The OSF connects information across all phases of the research lifecycle and enhances transparency in the process with features to support content management, collaboration, file storage, version control, and sharing within both private and public workflows.