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.
Vision: Enable transformation of data by developing a platform to make data expressive, presentable and valuable to self, teams and audience at large.
Mission: Build a versatile web platform and tools to enrich data through organization, management, discovery and collaboration.
- Amit Chourasia, Director
- David Nadeau, Technical Architect
- Scott Sakai, Security Consultant
- Research Data Services Division
Michael Norman, Scientific Advisor
SeedMe a prior incarnation of SeedMeLab was born out of a common problem to easily and swiftly share visualization images, encode videos from images and share them with collaborators. With a success with that service, there was demand to create an improved platform that could provide a better capability for arbitrary data, the software should be compassable and should be available for others to deploy at their own organizations, rather than relying on a central service. This resulted in development of SeedMeLab (formerly SeedMe2) as a set of data sharing building blocks to meet needs of multi-disciplinary research teams with data annotation, discussion and data presentation. SeedMeLab continues to refine the original work with continuous feedback from diverse set of users.
Trivia: SeedMe is an abbreviation of Stream, Encode, Explore and Disseminate My Experiments
Grant Award: This work was 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."
SGCI support: We would like acknowledge the Science Gateways Community Institute for providing support in help with guidance on outreach material and website usability study.
Collaborators & Users: Our sincere thanks to collaborators and early users for their continued support and feedback that helped in defining and refining features.