SeedMeLab is a software suite and a managed hosting service offered by the San Diego Supercomputer Center at the University of California at San Diego. Both software and services are available for use in academia, government, non-profits and industry.
Build a versatile web platform and tools to enrich data through organization, management, discovery and collaboration.
Enable transformation of data to make it expressive, presentable and valuable to self, teams and audience at large.
SeedMeLab is a result of two decades of onerous first hand experience in preparing and sharing results from supercomputing simulations with many researchers at different geographic locations using different operating systems. It’s been a labor–intensive process, unsupported by useful tools and procedures for sharing information. We witnessed the same grief experienced by many other research groups as well, which led us to build the SeedMeLab.
SeedMe is short for Stream, Encode, Explore and Disseminate My Experiments and is inspired by seeds that proliferate and grow in a fertile environment. Just as agriculture spurred the development of civilization, SeedMeLab offers the science community a searchable ecosystem of rich research content and knowledge to curate and cultivate. One resource that lets scientists seamlessly share and stream results on a variety of devices.
David NadeauTechnical Architect
Operations and Security
Michael Norman, Scientific Advisor
Director SDSC & Professor Department of Physics, UC San Diego
Grant Award: This work was originally supported by the National Science
Foundation under Grant No. 1443083. "Any opinions, findings, and conclusions or recommendations
expressed in this material are those of the author(s) and do not necessarily reflect the views
of the National Science Foundation."
Partners: We would like acknowledge the Science Gateways Community Institute for providing support in help with guidance on value proposition, outreach material, usability study, security assessment and sustainability development.
Collaborators & Users: Our sincere thanks to collaborators and early users for their continued support and feedback that helped in defining and refining features.