Research Information Technology
Mount Sinai's Research Information Technology department provides services and resources to support the school's research mission.
As part of Research IT's services, we assist investigators with database design and management. Our application development consulting service will help investigators with project planning and the systems development life cycle, including requirements gathering, business process mapping, and basic system design. We also provide programming support for application development for specific database functionality based on research need.
Databases are delivered via Mount Sinai's secure Web-based Electronic Research Application Portal© (eRAP)
With the help of this service, investigators can:
- Document database structures to be built by a developer.
- Determine the appropriate software tools to use in developing their database.
- Ensure their database designs meet institutional and sponsor standards for security and compatibility.
- Plan for expansion.
Research IT provides support for bio-specimen collection protocols integrated with longitudinal clinical data capture. Using both in-house and third-party tools, Research IT can support a wide array of specimen collection and clinical annotation needs.
Research IT has developed a secure Web-based custom scheduling module to support a common platform for scheduling lab equipment and services with integration into Sinai Central for charging grants for services provided.
eLearning is a secure Web-based learning module that provides investigators and their research teams with online training and reference resources where they are and when they need it.
Data Mining and Data Marts
Mount Sinai maintains a comprehensive Data Warehouse containing over 1 billion facts about nearly 3 million patients. Researchers planning new studies or grant applications can quickly search the de-identified Data Warehouse to quantify eligible cohorts. For IRB-approved research or CQI projects, data marts tailored to specific eligibility and data analysis requirements are prepared. Data marts may be de-identified, or may contain PHI with appropriate approvals.
Vice President for Research Information Technology