Research Information Technology

Mount Sinai's Research Information Technology department provides services and resources to support the research institutes, centers, and laboratories within the Icahn School of Medicine at Mount Sinai. Through our tools and guidance, we meet your information technology needs through every step of the research process. 

We help faculty and staff manage grant applications and research protocol approvals through a paperless electronic research administration system.

Learn more about Electronic Research Administration

We offer several options to store, access, and protect data. 

Learn more about Data Storage

We developed our Data Classification Reference Guide to help you determine the appropriate level of protection for different types of data. 

View our Data Classification Reference Guide

The Mount Sinai Data Warehouse (MSDW) consists of clinical, operational, and financial data derived from patient care processes of The Mount Sinai Hospital and Mount Sinai Faculty Practice Associates. We extract detailed inpatient and outpatient data from transactional systems every night and transform and load it into the MSDW. The warehouse contains data since 2003, sourced from 20 transactional systems, encompassing more than three million patients, and approaching one billion facts.

Contact the Mount Sinai Data Warehouse team at

We provide support for bio-specimen collection protocols integrated with longitudinal clinical data capture. Using both in-house and third-party tools, we can support a wide array of specimen collection and clinical annotation needs. 

Learn more about Specimen Management

We support a secure web-based learning module that helps you manage training for your research projects to ensure protocols and data management compliance.

Learn more about Elearning

Epic electronic medical records can be used to support research in a number of ways. You can track patient participation in studies, support enrollment through alerts based on study criteria, and capture data in a patient record. 

Learn more about Epic and Research