At Weill Cornell Medicine, researchers can make use of a host of comprehensive, state-of-the-art computing resources. In addition to scientific computing resources for high-performance applications, investigators also have access to multiple online resources to support the research enterprise, covering everything from electronic health record (EHR) reporting, to clinical trial support, to secure online analysis of research data sets.
For assistance navigating the options below, or if your request does not neatly fit into one of these categories, please feel free to contact us directly: arch-support@med.cornell.edu.
All of Us is a federal research initiative to collect patient data from one million people in the U.S.
Architecture for Research Computing in Health (ARCH) is a suite of tools and services designed to help WCM investigators extract and analyze electronic patient data.
The OMOP Common Data Model, maintained by the OHDSI Consortium, is a practical way for researchers and IT staff from different institutions across the world to model EHR and claims data in one format to support research activities.
Biobank informatics tools at WCM support tracking and annotating biospecimens, managing inventory, and integrating data with clinical and research information systems.
EMERSE and i2b2 allow researchers to identify cohorts of patients who meet specific clinical criteria. Patients can be identified by defining a phenotype or by inclusion/exclusion criteria. i2b2 searches structured data; EMERSE searches free text data.
For patients who have provided consent to be contacted for research, investigators with IRB approval can reach out directly to patients meeting study criteria.
WCM's collaborative initiative to process, store, and track biospecimens gathered for COVID-19 research.
The COVID Institutional Data Repository contains all electronic health record data and research biospecimens collected for patients tested for SARS-CoV-2 at WCM.
The catalog allows researchers to make their own datasets discoverable to others at WCM, and allows researchers to identify biomedical or health data that are not readily accessible elsewhere.
Data Core is a secure, scalable computing and storage environment within which users can share access to a collection of data sets and process the data with a variety of software tools, while meeting appropriate regulatory requirements to protect data.
Clinical research often necessitates the use of sensitive patient data. WCM researchers can ensure compliance with data privacy regulations through a consultation service.
Assist WCM researchers with developing & using newer technologies, like mHealth apps and wearable trackers, in their research to ensure compliance with policies and adherence to best practices.
WCM investigators can capture informed consent from participants in clinical research using a secure electronic platform.
WCM investigators can request detailed, rows-and-columns data sets to support quality improvement efforts or research from both Epic and other electronic health record systems.
REDCap is a secure, online, collaborative electronic data capture platform. Using REDCap, investigators can build case report forms that support both prospective studies and retrospective chart reviews.
Clinical decision support tools allow the electronic health record to bring research to the bedside and alter the course of care.
LabArchives is an electronic notebook tool that enables researchers to capture and share their research data and workflows.
To support grant applications, text describing WCM electronic patient data resources is available. Additionally, a number of publications have described the use and development of WCM infrastructure to support the research enterprise.
ITS can provide infrastructure and management for high performance computing needs, including specialized setups to support high-throughput applications.
The Weill Cornell Department of Radiology’s Imaging Data Evaluation and Analytics Lab (IDEAL) provides research support for imaging data management services and image processing and analysis.
INSIGHT integrates EHR data from six health systems in NYC to support clinical research.
WCM provides guidance for the development, implementation, and evaluation of iOS, Android, and SMART-on-FHIR apps.
WCM investigators can query data from other institutions using the INSIGHT Network (a.k.a. NYC-CDRN), the NCATS ACT Network, and TriNetX.
N3C is an NIH-led effort to acquire, harmonize, and make available patient-level COVID-19 data from participating sites to enable innovative machine learning and statistical analysis.
While the EHR stores a massive amount of patient data, much of this critical information exists only as free text mentions in progress notes and pathology/imaging reports. Using NLP, investigators can unlock the power of this data to support research.
The NCATS Accrual to Clinical Trials (ACT) Network is an NIH-led effort to allow investigators to query EHR data from nearly all CTSA hubs nationwide to determine counts of eligible patients for clinical trials.
The COVID-19 Genomics Research Network is a new multidisciplinary consortium launched by The New York Genome Center (NYGC) to undertake large-scale sequencing projects to gather, share, and analyze data on patients infected by the coronavirus.
Survey solutions for research studies and administrative data collection allow users to publish their own questionnaires and analyze the results.
The Wood Library provides a variety of tools and services for reporting on publications and helping administrators with assessment of scholarly impact.
RECOVER is a national initiative funded by the NIH to improve our prediction, detection, treatment, and prevention of the long-term health effects of COVID-19, often referred to as the post-acute sequalae of COVID-19 (PASC).
Research data repositories (RDRs) enable investigators to aggregate and transform data from multiple systems into a single secure resource customized to their needs.
WCM faculty, staff, and students must complete the WCM Data Retention and Export Control attestation recording their understanding of WCM research data policies. WCM has several Research Data Retention tools to help faculty archive data.
RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging and workspace management.
TriNetX is a global research data network with data from thousands of health care providers.
VIVO is an NIH-funded researcher networking tool that allows anyone to learn more about researchers at WCM. It aggregates data from a number of sources to provide a mini-CV for members of the research community.