# Biomedical Data Science Shared Resource

> **NIH NIH P30** · ROSWELL PARK CANCER INSTITUTE CORP · 2022 · $105,037

## Abstract

As a result of CCSG strategic planning and evaluation of services offered, the former Clinical Data Network
(CDN) was renamed the Biomedical Data Science Shared Resource (BDS). The mission of the BDS is to
contribute towards improving understanding of cancer biology and enable development of innovative
preventive and therapeutic approaches for cancer. The shared resource has enhanced its service platform to
better provide investigators with the infrastructure, tools, standards and technical collaboration required for
cutting edge data intensive cancer research, while expanding the breadth of the resource to include
development of Roswell Park-wide data standards, reusable software (database and web) tools for more
complex data management needs. BDS provides high quality data science support for basic, translational and
clinical research projects and assists investigators in the preparation of reliable data for funding applications
and publications. BDS is integrated into the Roswell Data Science initiative, creating a robust cancer research
data ecosystem populated with findable, accessible, interoperable and reusable data in the Roswell Data
Commons. This shared resource has served 5 research programs and 150 Roswell Park users. BDS usage
resulted in 101 peer-reviewed publications and has serviced 16 NIH grants. Roswell's bold Data Science
initiative is poised to transform research and the size and quality of the data ecosystem, freeing researchers for
scientific investigation and discovery. BDS works with CCSG researchers to understand scientific questions,
data needs and system requirements, the BDS, in collaboration with Roswell IT, researches and recommends
appropriate software for meeting the needs. BDS will be integral to the evolution of sophisticated data science
capabilities and a Findable, Accessible, Interoperable, Reusable (FAIR) data ecosystem. BDS ensures that the
informatics design and data model in grant applications appropriately support the analytic plan. The specific
aims of the BDS are: 1) To provide CCSG investigators with cutting-edge data science infrastructure, tools and
methods to facilitate data capture and analyses; 2) To harmonize and integrate data and metadata across
Roswell (including laboratory, shared resource and the clinical record) to enable basic science and clinical
investigators access to data; 3) To provide expert consultation and support to address the data science needs
of CCSG members, including effective data capture, management and sharing plans. With its expanded
structure, BDS will be integral to the evolution of sophisticated data science capabilities. In the future, BDS will
Drive the development of Roswell's cancer ontology as well as developing data standards (including Common
Data Elements) for use institution-wide and supporting data interoperability, reuse and sharing.

## Key facts

- **NIH application ID:** 10398045
- **Project number:** 5P30CA016056-45
- **Recipient organization:** ROSWELL PARK CANCER INSTITUTE CORP
- **Principal Investigator:** Alan David Hutson
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $105,037
- **Award type:** 5
- **Project period:** 1997-06-16 → 2024-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10398045

## Citation

> US National Institutes of Health, RePORTER application 10398045, Biomedical Data Science Shared Resource (5P30CA016056-45). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10398045. Licensed CC0.

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