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About Us

Scientific Computing and Data’s mission is to enable and accelerate biomedical discovery through collaborative research using high performance computing and data science. Led by Dean for Scientific Computing and Data  Patricia Kovatch, the Scientific Computing team provides tools, resources, and assistance to researchers across institutions around the globe.


Mount Sinai Data Warehouse

The Mount Sinai Data Warehouse (MSDW) collects clinical and operational data for use in clinical and translational research, as well as quality and improvement initiatives.

The MSDW provides researchers access to data on the over 12 million unique patients in the Mount Sinai Health System Epic Electronic Health Record (EHR), of which nearly 5.5 million of these patients have had an encounter. In total there are over 115 million patient encounters recorded in Epic. The Mount Sinai Data Warehouse (MSDW) ecosystem is Epic and OMOP-centric. The majority of the data collected by the MSDW comes from the Epic Clarity and Caboodle databases, as Epic is the primary electronic health record (EHR) across the Mount Sinai Health System (MSHS). The clinical data is extracted from the Epic Caboodle and Clarity databases, transformed to the OMOP Common Data Model (CDM) and is stored in the MSDW2 database, which is now located on the Minerva High Performance Computing cluster.

Click here to read more about data sources, transactions, and comprehensive descriptions of data in the Data Warehouse. MSDW is approved by the IRB.

Click here to learn more about data volume.


Research Data Services

Research Data Services enable you to collect and analyze your own data:

  • eRAP: A 21 CFR Part 11 compliant web-based interactive tool for data entry and reporting. We rapidly develop custom databases for your longitudinal single and multi-site studies. Launch eRAP
  • REDCap: secure web application for building and managing online surveys and databases. Launch RedCap

All of our systems and services are reviewed by IT Security and Compliance every year.




User Survey and MSDW Responses


Annual Report