Research Data Services

The SDSC Research Data Services (RDS) division is dedicated to providing decades of technical expertise, investments in data science, and its support of data-driven research. Led by Division Director Christine Kirkpatrick and Director of Infrastructure Brian Balderston, RDS also holds a number of NSF-funded grants and Data Initiatives (see below).

RDS seeks to follow the national trend towards more data-driven and computationally-based research by offering a suite of computing services ranging from Cloud Storage and Compute platforms, Data Center Colocation, Enterprise Networking Services, Research Data Consulting, Storage Backups, Traditional NFS Storage as a service, Universal Scale Storage, UNIX and Windows System Administration, and VMware Virtualization Hosting. For more details, see our available Cyberinfrastructure Services or contact Ryan Nakashima, RDS Research Services Manager at services@sdsc.edu.

In addition to the existing Cyberinfrastructure Services above, RDS continues to expand its service portfolio to custom compute solutions, large-scale high-performance storage, data management tool development, and exploration of other CI services to meet emerging research computing needs.

Data Initiatives

Analysis Platforms

Upcoming

  • Aug5-92024

    2024 HPC and Data Science Summer Institute

    The SDSC Summer Institute is a week-long workshop hosted by the San Diego Supercomputer Center (SDSC) at the University of California, San Diego focusing on a broad spectrum of introductory-to-intermediate topics in High Performance Computing and Data Science. The program is aimed at researchers in academia and industry, especially in domains not traditionally engaged in supercomputing, who have problems that cannot typically be solved using local computing resources. Deadline to apply is Friday, April 26, 2024

    Location: SDSC Auditorium at UC San Diego

Training Catalog

Online training classes and workshops are recorded to enable the skills development necessary to use SDSC resources. The following list of previously recorded events offers users an opportunity to train at their own pace and schedule.