Investment in research is maximized when data are as open as possible: findable, interoperable, accessible, and reusable (FAIR). However, simply making data public in generalized repositories does not mean it is FAIR. Discipline-specific archiving will lower the barrier for scientists to make their data FAIR. The target disciplines of hydrology, oceans, and seismology were chosen because of their substantial but disparate existing resources and their demonstrated receptiveness to open data practices. The goal of this project is to build coalitions in three scientific disciplines by engaging stakeholders including researchers, publishers and data managers at multiple workshops and training events. They will develop community-vetted, disciplinary-specific data sharing frameworks; a web platform to implement the framework; and disciplinary leaders and liaisons to sustain the framework. The framework of community practices will also be captured to inform future use in other disciplines. The proposed work will build a sustainable community resource for three target disciplines to drive their community toward a shared vision of common data resources including digital objects, methods and tools that are grounded in Open Science and findable, interoperable, accessible, and reusable (FAIR) data principles. The process of developing discipline-specific frameworks will coalesce existing community resources and help to identify areas for development of leading practices, vocabularies,