# Program 8: Cancer Data Sciences

> **NIH NIH P30** · DANA-FARBER CANCER INST · 2020 · $71,777

## Abstract

Cancer Data Sciences Program
Project Summary / Abstract
Researchers trained in quantitative sciences have unprecedented potential to directly advance both cancer
research and cancer treatment. The mission of the Cancer Data Sciences Program is to fulfill this potential
across the spectrum of the efforts of the DF/HCC consortium. DF/HCC has a broad spectrum of research
activities, a majority of which are data-intensive and require intellectual input and innovative contributions from
Cancer Data Sciences Program members. As a consequence, the mission of the Program needs to be both
broad and adaptable to the needs of the DF/HCC cancer research community. The program has 57 members,
representing seven DF/HCC institutions and 11 academic departments. In 2014 peer-reviewed grant funding
attributed to the Program was $5.4 million in total costs from the NCI and $4.4 million from other sponsors.
During the current funding period, Cancer Data Sciences Program members published 1,259 cancer-relevant
papers. Of these 45% were inter-institutional, 9% were intra-programmatic and 62% were inter-programmatic
collaborations between two or more DF/HCC members. Overall, when counted once, 27% of DF/HCC
publications were inter-programmatic collaborations.

## Key facts

- **NIH application ID:** 9842698
- **Project number:** 5P30CA006516-55
- **Recipient organization:** DANA-FARBER CANCER INST
- **Principal Investigator:** Franziska Michor
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $71,777
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9842698

## Citation

> US National Institutes of Health, RePORTER application 9842698, Program 8: Cancer Data Sciences (5P30CA006516-55). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/9842698. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*