Welcome!
The Mount Sinai Data Warehouse (MSDW) collects clinical, operational, and financial data for use in clinical and translational research, as well as quality and improvement initiatives. Scientific Computing’s mission is to enable and accelerate biomedical discovery through collaborative research using high performance computing and data science.
Please submit support requests through the MSDW ticketing system.
Covid-19 Research |
| Download Covid-19 Research – New data elements are being added regularly! |
| Collaborate with Researchers |
| View raw COVID-19 queries for research reproducibility |
| Please acknowledge us in your manuscripts with the following: “This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing at the Icahn School of Medicine at Mount Sinai.” |
Data Services
The MSDW team offers the following self-service applications, as well as custom queries and data de-identification. Learn more about which service is right for you.
Cohort Query Tool (CQT)
The Cohort Query Tool (CQT) is an easy-to-use, self-service web app available to the research community at Mount Sinai to query the MSDW. Request access here. You can then use your Sinai network username/password to login.
i2b2
The i2b2 web application provides self-service access to a de-identified data mart maintained by the MSDW team. Request access here. You can then use your Sinai network username/password to login.
OMOP/OHDSI ATLAS
A web-based integrated platform for database exploration, standardized vocabulary browsing, cohort definition, and population-level analysis. You can then use your Sinai network username/password to login.
Data Dictionary
The Data Dictionary illustrates transactions and data points that are collected from each source. It is a good resource to gain an understanding of available data.
Available Data
Mount Sinai Data Warehouse collects data from various sources, including EPIC, CERNER and others. More Info info on data types and sources can be found here.
