This document discusses the need for infrastructure to preserve and share scientific workflows and data. It provides two use cases, one from astronomy and one from biology, to illustrate challenges around collaboration, data management and reproducibility. Research Objects are proposed as a way to bundle workflows and data with metadata, provenance and lifecycles. Linked data could help support collaborative science by linking research objects and enabling discovery. Ensuring user-driven provenance is also discussed as important for adoption.