Weill Cornell Medicine Samuel J. Wood Library

Library Scientific Software Hub

Welcome to the Library's Scientific Software Hub. Here you can find information and access to all the software that is licensed to Weill Cornell Medicine faculty, staff and students, or is freely available. The library is also assisting groups of users who would like to share the licensing costs of specialized software - use the Suggest New Software form to inquire about new software costs or cost sharing. We also offer assistance in gaining access to data through many online repositories. For any questions or issues, please email scisoft@med.cornell.edu.

To view clinical databases, visit our Biomedical Research Database Resources page.

Scientific Software Hub

i2b2

i2b2 enables researchers to discover cohorts of patients using data from EHR systems. Through a point-and-click interface, researchers can build queries drawing from demographics, diagnoses, procedures, medications, and results recorded in Epic, the EHR system of Weill Cornell Physician Organization outpatient clinics (access to data from Eclipsys/Allscripts Sunrise Clinical Manager, the EHR system of NewYork-Presbyterian inpatient units, is planned). i2b2 supports different types of queries of clinical data, including whether clinical concepts occurred at any point in a patient’s medical history, during a particular visit, or in a sequence of events. Using de-identified data, investigators can determine potential cohorts of interest for later obtaining identified or limited data sets with Institutional Review Board (IRB) approval

Free to Use: Yes

Available To Residents: No

Ledidi

Ledidi Core is a secure web-based platform for research projects and clinical registries with functionality for study design, creation of data entry forms and eCRFs in combination with built-in-tools for statistical analysis and data visualization. The statistical analyses include descriptive statistics, parametric and non-parametric tests, regression analyses, contingency tables and survival analyses. It is suited for international collaborations, or for single or multi-center projects.

Free to Use: No

Available To Residents: Yes

REDCap

REDCap is a PHP-based system, developed by Vanderbilt University and currently managed and updated through a national consortium, that supports the rapid setup of secure, Web-based study-specific database systems and associated forms. It provides full field validation capabilities (customized to each study), import/export (including export to common statistical packages such as SAS, SPSS and Excel), and file upload/management functions. It includes a complete suite of features to support HIPAA compliance, including a full audit trail, user-based privileges, and integration with the institutional LDAP server. REDCap is available free of charge to any clinical/translational research study being conducted at Weill Cornell or any of its CTSA partner institutions. Many studies can be supported with REDCap alone. For those studies that require a higher level of complexity and/or customization than is readily supported by REDCap, programmers experienced in clinical research data management are available through the Core Informatics Group. Depending upon the nature of the study and the extent of its needs for customized programming, a charge-back arrangement may be required.