The research community is moving towards the acceptance that data and software are both essential parts of understanding and reproducing many research (e.g., science, engineering, humanities) outcomes (e.g., papers, books, presentations) and are themselves valuable outputs that can capture and explain knowledge.  However, we don’t currently have a good set of practices to support reuse and sharing of data and software.