Research Data Repositories

Also known as
Also known as: 
  • ARCH
  • RDR
  • COVID data
  • COVID biobank

Clinical and translational research data often exist across different sources—including electronic health record (EHR), electronic data capture (EDC), and biobank systems—and require custom integration to become amenable to analysis. By bringing together data from disparate applications, research data repositories (RDRs) enable investigators to ask multiple research, quality, and clinical questions. RDRs provide authorized personnel with access to self-service tools for discovery (i.e. generating hypotheses), collection (i.e. recording novel measures), and preparation (e.g. testing hypotheses) of data to support retrospective and prospective studies. Creation of an RDR requires approval from the ARCH Scientific Advisory Board as well as a financial commitment from investigators. Please submit a request on our myHelpdesk site.

If your department already has an RDR and you need more information about how to access or use it, you can also refer to the RDR user manual.

ARCH also provides access to a variety of COVID related resources, such as the COVID Biobank, COVID Institutional Data Repository (IDR) and the NYGC COVID Research Network.

COVID Biobank

The WCM COVID-19 Biobank is a collaborative initiative to process, store, and track biospecimens gathered for COVID-19 research at Weill Cornell Medicine. The purpose of this resource is to enable clinical and translational research on SARS-CoV-2 using biospecimens managed by the WCM Institutional Biorepository Core (IBC) in coordination with WCM faculty. The COVID-19 Biobank provides investigators with access to well-characterized samples and clinical data from patients who underwent COVID-19 testing at Weill Cornell Medicine outpatient clinics, NewYork-Presbyterian/Weill Cornell Medical Center’s E 68th St campus, and Lower Manhattan Hospital. In the future, specimens from other NYP campuses may be available.  

Biospecimens for research are available upon request. For more information on specimen availability and the biospecimen request process, please view our Sharepoint site.  

COVID Institutional Data Repository (IDR)

The COVID  Institutional Data Repository (IDR) contains data on patients tested for SARS-CoV-2 at the Weill Cornell Medical, Lower Manhattan Hospital, and Queens Hospital centers of NewYork-Presbyterian Hospital. The IDR brings together data from disparate clinical and research information systems at WCM, including Epic, REDCap, and Allscripts, at all three sites. ARCH can provide authorized personnel in the Weill Cornell community with access to the COVID IDR to support both clinical operations and research needs.  

To learn more about the COVID IDR, visit our SharePoint site

NYGC COVID Research Network

In March 2020, the NYGC launched the  COVID-19 Genomics Research Network, a new multidisciplinary consortium with the goal of undertaking a wide array of large-scale sequencing projects to understand how the virus spreads, how the immune system responds, why some people appear minimally affected while others are severely impacted, and which pharmaceutical strategies might optimally help reduce the spread and alleviate symptoms. 

More than 250 scientists and clinicians, representing the leading academic medical centers and research institutions across the region, are participating in the Network’s virtual meetings.  

NYGC core faculty members and senior scientists are also actively involved in developing joint collaborative projects within the Network, including a building a regional data commons to house de-identified clinical, omics, and imaging data for the research community. 

The Network is supported by a new portal,  covidgenomics.org, which includes COVID-19 related news, events, protocols, tools, and recent publications. 

Weill Cornell Medicine participates in the NYGC COVID-19 Genomics Research Network. Researchers interested in using data from this network can learn more at the portal link above or by contacting arch-support@med.cornell.edu

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