Globus Data Publication as a Service: Lowering Barriers to Reproducible Science

Broad access to the data on which scientific results are based is essential for verification, reproducibility, and extension. Scholarly publication has long been the means to this end. But as data volumes grow, new methods beyond traditional publications are needed for communicating, discovering, and accessing scientific data. We describe data publication capabilities within the Globus research data management service, which supports publication of large datasets, with customizable policies for different institutions and researchers, the ability to publish data directly from both locally owned storage and cloud storage, extensible metadata that can be customized to describe specific attributes of different research domains, flexible publication and curation workflows that can be easily tailored to meet institutional requirements, and public and restricted collections that give complete control over who may access published data. We describe the architecture and implementation of these new capabilities and review early results from pilot projects involving nine research communities that span a range of data sizes, data types, disciplines, and publication policies.