Abstract Computable network models of pathway mechanisms, molecular interactions, and cellular function are widely developed and used in cancer genome analysis. Dissemination and reuse of networks, however, needs common data standards, facile access by visualization and analysis applications, mechanisms for pre-publication collaboration, and integration with the publishing process. We present NDEx, the Network Data Exchange, an online resource (www.ndexbio.org) that addresses these needs by providing a framework in which users can store, share, access, and disseminate networks. These networks can range from small pathways to large interaction data or to hierarchical cell models. NDEx is user-driven, where every researcher can be an author, easily creating publicly available network resources with full control of the data content and organization. Networks can range from standard resources disseminated by organizations to novel, up-to-date content from individual scientists. Collaborators can privately share their networks for review and reference or for integration in analysis workflows across multiple scripts and applications. Access to NDEx by an extensive API and client libraries supports network-enabled application development. Published networks can go beyond diagrams and static supplemental data, becoming immediately accessible and interactive. Integration with academic publishing is underway, facilitated by features such as anonymous access by reviewers and minting of DOIs for networks. NDEx breaks down barriers to scientific discourse involving networks, fostering collaboration within and between communities. Citation Format: Dexter R. Pratt. NDEx, the Network Data Exchange: Collaboration, publication and data sharing for cancer pathways [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3283.