Clinical Research Information Technology & Informatics | NYU Langone Health

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Resources for Researchers & Study Teams Clinical Research Information Technology & Informatics

Clinical Research Information Technology & Informatics

Our data scientists and informaticians provide informational technology and informatics services in support of investigators conducting clinical research.


DataCore is an integrated service providing enterprise-level support in the areas of electronic data capture and storage, management and integrity, and extraction and sharing. For more information, contact Eduardo Iturrate, MD, at

Institute for Computational Medicine

At the Institute for Computational Medicine at NYU Langone Health, data scientists and informaticians use computer models to better understand human disease, transforming the way doctors diagnose and treat patients.

Our experts focus on the fields of cancer biology, host–pathogen interactions, adaptive immune systems, and population health. These disciplines require expertise to analyze big data sets and apply principles of developmental and evolutionary systems. For more information, contact Itai Yanai, PhD, director, at

Online Information Technology and Informatics Systems and Databases

In addition to DataCore and the Institute for Computational Medicine, the following systems and databases are available to investigators, who may access these resources by logging in using a Kerberos ID. To obtain a Kerberos ID, contact information technology at 212-263-6868.

Data Catalog

Data Catalog contains numerous large datasets from, for instance, the U.S. Census Bureau, the New York State Department of Health’s Statewide Planning and Research Cooperative System, and UnitedHealthcare. Investigators can browse existing datasets as well as add their own to the catalog.

Epic Electronic Health Records

Integration between the electronic medical record system, Epic, and the Clinical Research Management System allows physicians to receive up-to-date information on patients of theirs who are participating in a clinical trial. It also helps researchers track study subjects and maintain billing compliance.

Laboratory Information Management System

The Laboratory Information Management System (LIMS) is a software-based laboratory and information management system used to support laboratory operations, as well as to submit requests for cores services. Please note that you must request access to LIMS in order to use the system.


REDCap is a secure web application for building and managing online surveys and databases. It provides automated export procedures for seamless data downloads to Excel as well as common statistical packages such as SPSS, SAS, Stata, and R. REDCap is available for both internal and external users.

Research Navigator

Research Navigator is a single sign-on portal for managing your NYU Grossman School of Medicine research portfolio. This online resource assists investigators in submitting research protocols and managing information related to current clinical trials and research studies. In order to use Research Navigator, you must first complete the Research Navigator training, available through FOCUS, where you can also download user’s guides. Login requires a Kerberos ID.