Mount Sinai Data Warehouse

Partnering with researchers and clinicians to effectively utilize Mount Sinai Health System data for translational and clinical research


September 20, 2022 – Quarterly upgrade releases for Leaf (October 4, 2:00-5:00 pm) and ATLAS (October 5, 2:00-5:00 pm) are scheduled and system access will be affected. Click here to read more.

September 12, 2022 – MSDW’s 2021-2022 Annual Report is now available. Click here to read the report.

OMOP Query Tools

Which tool should I use?


A web-based query tool that creates patient cohorts from de-identified data using clinical and demographic criteria. Log in with your Mount Sinai credentials.

Resources and Info  |  Launch Leaf 


A web-based query tool that analyzes data standardized in the OMOP CDM format. Mount Sinai users must have a school account for access.

Resources and Info  |  Launch ATLAS


A web-based query tool that queries de-identified Epic data, including demographics, diagnoses, lab results and moreRequest Access.

TriNetX Tutorial  |  Launch TriNetX

COVID-19 Data Sets

The de-identified COVID-19 data sets include all patients at a Mount Sinai facility who have been screened for or diagnosed with COVID

Resources and Info | Download Data

Custom Data Request

The MSDW team will work with you to create a custom de-identified or PHI data set for your research or quality improvement project. 

Resources and Info | Data Set Request Form

OMOP Data Marts

MSDW supports continually refreshed OMOP-formatted data marts of your research projects’ patient cohorts of interest.

Resources and Info | Request Access

Data De-Identification Service

The data de-identification service ensures that all protected health information (PHI) identifiers have been masked or removed from a data set. 

About De-Identification Service

Enterprise Data Catalog

Enterprise Data Catalog (EDC) at Mount Sinai features a collaborative environment to share data and information.

Launch EDC

Tools for OMOP

Open source software tools can be used with MSDW’s Observational Medical Outcomes Partnership (OMOP) Common Data Model.


Acknowledge Mount Sinai in Your Work

All publications must include the following language in the acknowledgments section: “This work was supported in part through the Mount Sinai Data Warehouse (MSDW) resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai.”