# Human Tumor Atlas Network: Data Coordinating Center

> **NIH NIH U24** · DANA-FARBER CANCER INST · 2024 · $2,290,597

## Abstract

Project Summary/Abstract
The Human Tumor Atlas Network (HTAN) seeks to improve our understanding of the important
transitions during tumorigenesis, progression, and metastasis, and to provide a detailed,
multi-dimensional map of these states. Since 2018, our multi-institutional group has managed
the HTAN Data Coordinating Center (DCC), and HTAN data are now available via multiple
mechanisms, including the HTAN Data Portal, the Synapse platform, and the NCI Cancer
Research Data Commons (CRDC). The aim of this application is to continue the important work
of the DCC by continuing to release HTAN data to the wider scientific community and further
developing visualization, annotation, and analysis tools that meet the needs of HTAN and the
diverse cancer research community. Our vision for the HTAN DCC is a dynamic, modular and
adaptive center that will: 1) continue to evolve the HTAN data standards, and continue to build
and maintain the core HTAN data platform for storage, analysis, and dissemination; 2) continue
to provide logistical support for network coordination and communication; and 3) expand our
education and outreach activities to the wider scientific community, further enabling the re-use of
HTAN data.

## Key facts

- **NIH application ID:** 10994337
- **Project number:** 2U24CA233243-02
- **Recipient organization:** DANA-FARBER CANCER INST
- **Principal Investigator:** Ethan Cerami
- **Activity code:** U24 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $2,290,597
- **Award type:** 2
- **Project period:** 2018-09-30 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10994337

## Citation

> US National Institutes of Health, RePORTER application 10994337, Human Tumor Atlas Network: Data Coordinating Center (2U24CA233243-02). Retrieved via AI Analytics 2026-06-11 from https://api.ai-analytics.org/grant/nih/10994337. Licensed CC0.

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