Scientific Computing and Data

Partnering with researchers to advance scientific discovery

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Led by Dean for Scientific Computing Patricia Kovatch, the Scientific Computing team partners with researchers to advance science by providing tools, resources, and assistance to researchers across institutions around the globe.

Advance your Science

Utilize our services to facilitate your research, data, or compute power.

High Performance Computing

The primary asset for Scientific Computing is the supercomputer Minerva. The HPC resource, upgraded in 2020, utilizes

  • 14,304 Intel Gold 8168 24C, 2.7 GHz compute cores (48 cores per node with two sockets in each node)
  • 286 nodes with 192 GB of memory per node, 65.7 terabytes of total memory
  • 350 terabytes of solid-state storage and nearly 30 petabytes of spinning storage accessed via IBM’s Spectrum Scale/General Parallel File System (GPFS)
  • a total of 1.2 petaflops of compute power

Minerva has contributed to over 1,200 peer-reviewed publications in 7 years.

Research Data Services

We partner with scientists to conduct their research via independent data collection, capture, and analysis.

  • eRAP is a web-based interactive tool for data entry and reporting. Custom databases are rapidly developed for your longitudinal single and multi-site studies.
  • REDCap is a secure web application for building and managing online surveys and databases. Track data manipulation, user activity, export procedures, scheduling, calendaring, and branching logic.
  • Data Ark utilizes FAIR principles to provide regularly-updated high-quality data sets for reusability in research.

All Research Data Services are HIPAA compliant.

Mount Sinai Data Warehouse

The Mount Sinai Data Warehouse provides researchers access to data on over 12 million unique patients in the Mount Sinai Health System Epic Electronic Health Record (EHR).

  • In total there are over 115 million patient encounters recorded in Epic
  • The MSDW ecosystem is Epic and OMOP-centric
  • 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
  • Data is now located on the Minerva High Performance Computing cluster

Request your own custom data set or utilize self-service query tools to search the data.

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