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Updated: May 29, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

DW4TR: A Data Warehouse for Translational Research.

Hai Hu¹, Mick Correll, Leonid Kvecher

¹Windber Research Institute, Windber, PA 15963, USA. h.hu@wriwindber.org

Journal of Biomedical Informatics

|August 30, 2011

Summary

This summary is machine-generated.

A new Data Warehouse for Translational Research (DW4TR) system integrates clinical and molecular data. This patient-centric system supports multiple research projects, enhancing disease study and data usability.

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Area of Science:

Biomedical Informatics
Translational Research
Data Integration

Background:

Bridging clinical and laboratory research is crucial for translational science.
Integrating diverse clinicopathologic data presents significant challenges.
Accessible data is essential for effective translational research.

Purpose of the Study:

To develop a generalizable system for integrating clinical and molecular data.
To support multiple translational research projects across various disease types.
To make complex research data usable at the point-of-need.

Main Methods:

Developed the Data Warehouse for Translational Research (DW4TR) system.
Utilized a patient-centric clinical data model and a specimen-centric molecular data model.
Incorporated temporal data relationships and user-friendly interfaces (ABB, ISIV).

Main Results:

The DW4TR system successfully supports multiple translational research projects.
Initial applications include breast cancer and gynecological disease research programs.
The system demonstrates adaptability and extensibility for diverse research needs.

Conclusions:

The DW4TR system provides a robust solution for integrating heterogeneous research data.
This approach facilitates translational research across a broad spectrum of human diseases.
The DW4TR is poised to become a valuable asset in advancing translational science.