# Tufts Clinical and Translational Science Institute (N3C Supplement)

> **NIH NIH UL1** · TUFTS UNIVERSITY BOSTON · 2020 · $100,000

## Abstract

PROJECT SUMMARY
Tufts Clinical and Translational Science Institute (Tufts CTSI) is based on the conviction that
authentic involvement of the entire spectrum of clinical and translational research (CTR) is
critical to fulfilling the promise of biomedical science for meeting the public's needs. This
includes not only from translation from bench to bedside (T1 translation), but also, crucially for
having health impact, translation into effective clinical practice (T2), care delivery and public
health (T3), and health policy (T4). Advances on all of these fronts is increasingly dependent on
making effective use of scientific data from multiple domains.
The COVID-19 global emergency presents both an immediate challenge and an opportunity to
progress on important data sharing aims emphasized by NIH. In response, NCATS and the
Centers for Translational Science Award (CTSA) hubs, several HHS agencies, and other
partnering organizations have committed to developing a next-generation repository for clinical
data related to COVID-19, the National COVID Cohort Collaborative (N3C), as a means of
accelerating global research into the disease and aiding the development of diagnostics,
therapeutics, and effective vaccines. The N3C initiative's goal of improving the efficiency and
accessibility of analyses with clinical data is consistent with the primary informatics objectives of
Tufts CTSI, which am to reduce barriers to the integration of healthcare and research by
providing innovative systems, data repositories, and analytical tools, and by enabling greater
exchange and collaboration through interoperability, standardization, and resource sharing. In-
line with shared objectives, in this supplement we seek to contribute to the N3C initiative as a
data provider and thought partner through the following specific aims: (1) continue to play an
important role providing tools and resources for N3C's analytics platform; and (2) ensure Tufts
CTSI's Informatics Program has sufficient staff and technical resources to continue to provide
COVID-specific patient data from our hub to the N3C repository.

## Key facts

- **NIH application ID:** 10172199
- **Project number:** 3UL1TR002544-03S4
- **Recipient organization:** TUFTS UNIVERSITY BOSTON
- **Principal Investigator:** Harry P. Selker
- **Activity code:** UL1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $100,000
- **Award type:** 3
- **Project period:** 2018-05-01 → 2023-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10172199

## Citation

> US National Institutes of Health, RePORTER application 10172199, Tufts Clinical and Translational Science Institute (N3C Supplement) (3UL1TR002544-03S4). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10172199. Licensed CC0.

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