STARR (STAnford Research Repository)
A core function of Research IT has been to build and maintain STARR (f.k.a. STRIDE), a crucial resource for Stanford biomedical research. STARR is a clinical data warehouse of live Epic data from Stanford Health Care (SHC), the Stanford Children’s Hospital (SCH), the University Healthcare Alliance (UHA), Packard Children's Health Alliance (PCHA) clinics, and other auxiliary data from Hospital applications such as radiology PACS.
Stanford researchers have access to Research Management Group and Do Research website. The Core Facilities website provides information about all the shared research facilities at School of Medicine. Research IT has put together a document describing our resources, specifically formatted for NIH resource section.
Stanford Data Science Resources (DASHER)
Do you need more assistance with clinical or translational research?
If you need more assistance than Research IT offers (in areas such as potential data sources, study design/methodology, or help with interpretation) Stanford Data Science Resources (DASHER) can help.
Publications resulting from the use of Research IT tools or consulting services should include a citation to the appropriate supporting grant.
STARR should be cited for projects which include the use of any of the following:
- Cohort Identification Tool
- Clinical Data Review Tool
- Data consultations and clinical queries (via Research Informatics Center)
- Data extraction services (via Research Informatics Center)
Please use the following wording:
“This research used data or services provided by STARR, “STAnford medicine Research data Repository,” a clinical data warehouse containing live Epic data from Stanford Health Care (SHC), the Stanford Children’s Hospital (SCH), the University Healthcare Alliance (UHA) and Packard Children's Health Alliance (PCHA) clinics and other auxiliary data from Hospital applications such as radiology PACS. STARR platform is developed and operated by Stanford Medicine Research IT team and is made possible by Stanford School of Medicine Research Office.”
For projects using REDCap or REDCap Survey to collect, manage, or report data, please use the following wording:
“The Stanford REDCap platform is developed and operated by Stanford Medicine Research IT team. The REDCap platform services at Stanford are subsidized by a) Stanford School of Medicine Research Office, and b) the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through grant UL1 TR001085⤉. ”
(⤉ For K award-supported scholars, use grant number KL2 TR001085. For T award-supported trainees, use grant number TL1 TR001085.)
For projects using Stanford mHealth platform to collect, or manage data, please use the following wording:
“The mHealth platform is developed and operated by Stanford Medicine Research IT team. The mHealth platform services at Stanford are subsidized by Stanford School of Medicine Research Office. ”
For projects using Stanford CHOIR platform to collect, or manage data, please use the following wording:
“The CHOIR platform is developed and operated by Stanford Medicine Research IT team. The CHOIR platform at Stanford is made possible by Chris Redlich Endowment in Pain Research, Chris Redlich Endowment Fund. ”
Research IT Service citations
For projects using Research IT services, please consult with Research IT team for specific language or use the following wording:
“This research used services provided by Stanford Medicine Research IT team. The services are subsidized by Stanford School of Medicine Research Office.”
Stanford REDCap training
Our REDCap team, in collaboration with the consortium, has made available a comprehensive set of modular training resources for our community. Additionally, there is now a monthly hands-on training. To access these resources, you need SUNetID.
Stanford Course in Clinical Research
Spectrum runs a course titled Spectrum Intensive Course in Clinical Research (ICCR): Study Design and Performance. This is a one-week immersion course for new clinical investigators, senior residents, fellows, and junior faculty (Assistant Professor and below from any faculty line) interested in pursuing careers in clinical and translational research and who have not had formal training in clinical research as part of a Masters or PhD degree program in Public Health or Epidemiology.
Overview of Clinical Data Science
The Clinical Data Specialization course offered by University of Colorado on Coursera is a great introduction to clinical data. The course provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This coursework will prepare researchers to use Google Big Query and OMOP Common Data Model from Observational Health Data Sciences and Informatics (or OHDSI, pronounced "Odyssey") consortium.
The next generation STARR cohort tool (STARR-Navigator or STARR-Nav) will be based on OMOP Common Data Model and will be based on Google Big Query.