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 Training

  • Jun-Aug14-202021

    eScience Institute - Data Science for Social Good Summer Program

    Student Application Deadline: February 15, Project Proposal Deadline: February 22: The UW Data Science for Social Good (DSSG) program at the UW eScience Institute, a partner of the West Big Data Innovation Hub, is now accepting student fellow applications and project proposals for the 2021 summer session. Fellows will work with academic researchers, data scientists, and public stakeholder groups on data-intensive research projects that will leverage data science approaches to address societal challenges in areas such as public policy, environmental impacts, and more. DSSG is also looking for project proposals from academic researchers, public agencies, non-profit entities, and industry who are looking for an opportunity to work closely with data science professionals and students on focused, collaborative projects to make better use of their data. Due to the COVID-19 pandemic, the 2021 program will be conducted remotely.

    This event will be held remotely.

  • Jul19-222021

    PEARC21

    ACM PEARC21 will take place virtually from July 19-22, 2021 and will explore the current practice and experience in advanced research computing including workforce development, training, diversity, applications and software, and systems and software. This yearʻs theme is “Evolution Across All Dimensions”.

    This event will be held remotely.