The Research Tools team is responsible for operating and extending institution-scale digital platforms for researchers, including UCSF’s research electronic data capture (REDCap) systems.
The Research Data Assets and Services program is dedicated to developing enterprise data assets and informatics tools that provide UCSF researchers with easy access to the full breadth and depth of UCSF clinical data. Our primary goal is to support data-driven research that translates to improved healthcare outcomes.
ARS empowers medical scientific investigations by offering secure computing environments, data capture, management and analysis tools, and support services that meet your team's research needs.
Our dedicated team of informatics experts, data scientists, and software/data engineers are continually developing, extending, and supporting the use of UCSF clinical and biomedical data to engage in premier research.
Meet the Academic Research Services team and connect to get help with your research.
Mandy Terrill, Associate Chief Information Officer for Research, plays a key role in providing management to the research information technology program for the UCSF research mission in all aspects of their research. The ARS leadership team works closely with their peers and associated teams to meet the current and evolving needs of the UCSF research community.
Get assistance with Wynton HPC during our virtual office hours every Tuesday
The RACS program was designed to elevate UCSF’s research compliance systems and tools. The team is composed of seasoned project managers, systems analysts, and business analysts with years of expertise at large academic medical centers.
An informal bi-weekly office hour for the users of research data assets (structured data and clinical notes) - De-Identified Clinical Data Warehouse (DEID CDW), De-Identified OMOP, CDW LDS (Limited Data Set), COVID-19 Data Mart (C19DM), UC Wide COVID Data Set (CORDS), DEID CDW on Information Commons, and De-Identified Clinical Notes.
Please join us for the community office hour focused on GenAI best practices, feedback, user needs, and other aspects of using Generative AI technology at UCSF.