Center for Data to Health

  • The Cohort Exploration Dashboard is now available on the home page of the N3C website. This easy access dashboard displays high-level information from the N3C Data Enclave to showcase harmonized metrics from electronic health records of institutions across the country. You can view geographical locations of contributing sites and distributions across age and sex, race and ethnicity, and
  • Look for the big gold “Ask N3C” button on the far right-hand side of the N3C homepage for full support of all your questions and requests. N3C provides support for ALL types of questions, including account issues, Data Use Request (DUR) status, synthetic data questions, publication submissions, meeting changes, Domain Team support, and so much more! Please submit a ticket for the most expedient
  • They say necessity is the mother of invention. In terms of healthcare, one of the most remarkable inventions begat by the pandemic is something called the National COVID Cohort Collaborative (N3C). The vision of the scientists and researchers behind the N3C is to turn massive amounts of already available data into new knowledge urgently needed to study COVID-19 and identify potential treatments
  • NCATS has provided the FDA with access to the N3C Data Enclave. FDA investigators interested in accessing N3C COVID-19 data must complete appropriate human subjects and NIH security training, review and abide by NCATS technology transfer requirements, and submit a Data Use Request (DUR) detailing their proposed project and use of N3C data. For details on how FDA investigators can access the N3C

  • Researchers have been anxious to learn what variables describe the COVID-19 patient cohort. Using the harmonized data in the N3C Data Enclave from 39 institutions’ electronic health records around the country, collaborators were able to distill this information in the manuscript titled The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction and is now
  • N3C held the first Enclave orientation sessions on February 2nd and 9th to engage users of all types with learning to use the N3C Data Enclave. The sessions were conducted by N3C Training Coordinator Shawn O’Neil and had over 100 participants for each session in attendance. This two-part training course will repeat on an ongoing basis, alternating week by week. To view training information and
  • National  COVID Cohort Collaborative Logo
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    Center for Data to Health
    N3C will hold a 2-part virtual orientation to learn how to use the N3C Data Enclave. These sessions are designed for users of all types. The first 2 sessions will take place in February, and then will alternate week by week for ongoing access. Session A - Recommended before attending Session B This session is for those who want to learn about N3C, as well as how to engage with project teams and
  • The National Institutes of Health COVID-19 NeuroDatabank and NeuroBioBank, funded by the National Institute of Neurological Disorders and Stroke, has been initiated at NYU Langone Health. We will create and maintain a national resource documenting and studying neurological complications of coronavirus disease (COVID-19), the illness caused by infection with the SARS-CoV-2 novel coronavirus

  • Food and Drug Administration
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    Center for Data to Health
    FDA and the Duke-Margolis Center for Health Policy will hold a virtual workshop focused on considerations about observational (non-interventional) study design and conduct when using evidence from observational studies to inform regulatory decisions.   FDA defines real-world evidence (RWE) as the clinical evidence regarding a medical product’s use and potential benefits or risks that is derived
  • View the N3C abstract for the paper The National COVID Cohort Collaborative: Clinical Characterization and Early Severity Prediction published in medRxiv, the preprint server for health sciences. This abstract is a preprint and has not yet been certified by peer review, so should not be used to guide clinical practice at this time. Stay tuned for full article publication! doi: https://doi.org/10
  • Johns Hopkins University
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    Center for Data to Health

    Tragically, the burdens of the COVID-19 pandemic often fall on the most vulnerable members of society. In this symposium, we will engage the broader Johns Hopkins community in a meaningful conversation on various aspects of disparities arising from the COVID-19 pandemic. Join us for an interactive discussion on how data science approaches and methods contribute to better understand, address, and

  • N3C is hosting an Open House to engage CTSA members, newcomers, and the wider translational research community. The event will be kicked off with a one-hour symposium that includes opening remarks from N3C leadership, followed by a PI/Clinician Testimonial with Dr. David Ellison of OCTRI, an N3C Tutorial on how to get involved, a demonstration of the N3C Data Enclave, and flash talks from the

  • National COVID Cohort Collaborative (N3C)
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    Center for Data to Health

    The N3C is the largest collection of electronic health record (EHR) data on COVID-19 patients in the world and is anchored on the OHDSI/OMOP model. This webinar will feature presentations to increase N3C awareness and engagement of nurses, and to identify opportunities and roles relevant to nurse scientists. There will also be a panel discussion involving prominent nurse scientists to address

  • iTHRIV logo
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    Center for Data to Health

    Abstract: Electronic medical record (EMR) data is encoded in patient charts through the course of clinical care and subsequent patient billing. Coded data in the electronic records (such as information stored as ICD/CPT/LOINC/RxNorm codes) provide vast amounts of valuable patient data. However, effectively applying data science tools to EMR data requires understanding dataset limitations and

  • National COVID Cohort Collaborative (N3C)
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    Center for Data to Health

    Melissa Haendel, PhD, FAMIA, Dan Housman, BSc, Hemalkumar Mehta, PhD, Charisse Madlock-Brown, PhD, MLS & Anita Walden, MA Researchers planning COVID-19 trials with the Trial Innovation Network (TIN) can leverage the N3C to inform their research hypotheses. N3C focuses on aligning its infrastructure so that it can generate efficient and minimally biased results. Part of that infrastructure includes

  • National COVID Cohort Collaborative (N3C)
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    Center for Data to Health
    N3C is hosting an Open House to engage CTSA members, newcomers, and the wider translational research community. The event will be kicked off with a one-hour Community Research Symposium, followed by a week of open community meetings to welcome new collaborators, present the work of the Domain Teams, and help researchers launch their COVID-19 projects. Kick-off Event: Community Research Symposium
  • The National COVID Cohort Collaborative (N3C) is open for research with over 2 million patients and 2 billion rows of data from more than 35 sites. Nineteen multidisciplinary Domain Teams composed of clinical and subject matter experts, statisticians, informaticists, and machine learning specialists are addressing the most pressing clinical questions. N3C data can be utilized to understand COVID
  • Center for Data to Health

    N3C Domain Teams enable researchers with shared interests to analyze data within the N3C Data Enclave and collaborate more efficiently in a team science environment.

  • National COVID Cohort Collaborative (N3C)
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    Center for Data to Health
    Free webinar for HIMSS Innovation Community & HIMSS20 Artificial Intelligence & Machine Learning Circle COVID-19 raises many difficult questions: What are the key risk factors? What are the best prognostic indicators? Which drugs are the most viable candidates for patients? To address these questions and more, the National Center for Data to Health (CD2H) and National Center for Advancing
  • Listen to the latest Bioinformatics & Beyond podcast hosted by Leo Elworth. Dr. Melissa Haendel discusses how the N3C organization she co-leads and co-founded has led the way in integrating COVID-19 clinical data to aid research efforts. She discusses how the creation of synthetic clinical data also has the potential to help COVID-19 researchers. Further topics include the current status of
  • Anita Walden (CD2H/N3C), Nicole Garbarini (NCATS), Heidi Spratt (UTMB), Charisse Madlock-Brown (UTHSC), and Sally Hodder (WVU) give an overview and update on the status of the N3C and governance policy, with a focus on Clinical Domain Teams, IDeA-CTR partnership, and engagement. N3C overview and status updates Data agreements; status and process Domain Teams, value, and opportunities Social
  • Data from more than 143,000 coronavirus-positive patients are now available to Rhode Island researchers through the new National COVID Cohort Collaborative (N3C) data platform. In addition to the vast amounts of data available for coronavirus research, the N3C also aims to help scientists analyze these data to understand the disease and develop treatments. The N3C Data Enclave was officially
  • The Foundations of Biomedical Data Science virtual seminar series is an exciting and topical set of regularly scheduled, weekly, webinar presentations covering the basics of data management, representation, computation, statistical inference, data modeling, & other topics relevant to “big data” biomedicine. The seminar series provides fundamental topic introductions suitable for individuals at all

  • Regenstrief Institute, Indiana Clinical and Translational Sciences Institute (CTSI) and Datavant are supporting the National Institutes of Health (NIH) in a national effort to securely gather data to help scientists understand and develop treatments for COVID-19. The National COVID Cohort Collaborative (N3C) was launched as a centralized analytics platform to store and study vast amounts of
  • Built and launched in just a few short months, the National COVID Cohort Collaborative (N3C) was established with researchers from more than 300 institutions. Whether you’re a clinician, statistician, data scientist, or translational scientist of any kind, there are numerous ways to participate. The N3C Data Enclave opened on September 2nd and now has over 1 million patient records (over 1 billion
  • National COVID Cohort Collaborative (N3C)
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    Center for Data to Health

    Speakers Anita Walden, MA; Nicole Garbarini, PhD; Heidi Spratt, PhD; Charisse Madlock-Brown, PhD give an update on the status of the National COVID Cohort Collaborative (N3C). The N3C Data Enclave is an analytics platform for COVID-19 research that houses: 1 billion rows of data 400+ researchers 1+ million patients This unique resource can be used to answer critical questions, create pilot data

  • Center for Data to Health

    Background: America’s grim COVID-19 statistics tell a story of human suffering and loss on an epic scale. But there is more to that story than scary numbers—a hopeful plot twist in which patients’ health data are transformed into knowledge that guides our way out of the crisis. The National COVID Cohort Collaborative (N3C) is a new effort to collect, harmonize, and collaboratively analyze

  • From the early days of the COVID-19 pandemic, epidemiologist Melissa Haendel knew that the United States was going to have a data problem. There didn’t seem to be a national strategy to control the virus, and cases were springing up in sporadic hotspots around the country. With such a patchwork response, nationwide information about the people who got sick would probably be hard to come by. Other

  • As the pandemic wears on, doctors are learning more about how to better care for patients with COVID-19, but there is still so much to learn. Moreover, the long-term effects of the disease are unknown. So the NIH and its National Center for Advancing Translational Sciences (NCATS) have launched a National COVID Cohort Collaborative (N3C) to collect electronic health record (EHR) data from partners

  • N3C Domain Teams enable researchers with shared interests analyze data within the N3C Data Enclave and collaborate more efficiently in a team science environment. Multi-discipline Clinical Domain Teams comprised of clinical and subject matter experts, statisticians, informaticists, and machine learning specialists focus on clinical questions surrounding COVID-19's impact on health, whereas the