The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database

被引：8
作者：
Elbers, Danne C. [1 ,2 ]
Fillmore, Nathanael R. [1 ,3 ,4 ]
Sung, Feng-Chi [1 ]
Ganas, Spyridon S. [1 ]
Prokhorenkov, Andrew [5 ]
Meyer, Christopher [5 ]
Hall, Robert B. [1 ]
Ajjarapu, Samuel J. [1 ,4 ]
Chen, Daniel C. [1 ,6 ]
Meng, Frank [1 ,6 ]
Grossman, Robert L. [5 ]
Brophy, Mary T. [1 ,6 ]
Do, Nhan, V [1 ,6 ]
机构：
[1] VA Boston Healthcare Syst, VA Cooperat Studies Program, 151MAV,150 S Huntington Ave, Jamaica Plain, MA 02130 USA
[2] Univ Vermont, Complex Syst Ctr, Burlington, VT 05405 USA
[3] Harvard Med Sch, Boston, MA 02115 USA
[4] Dana Farber Canc Inst, Boston, MA 02215 USA
[5] Univ Chicago, Ctr Data Intens Sci, Chicago, IL 60615 USA
[6] Boston Univ, Sch Med, Boston, MA 02118 USA
来源：
PATTERNS | 2020年 / 1卷 / 06期
关键词：
data commons; data integration; data sharing; de-identification; DSML 3: Development/Pre-production: Data science output has been rolled out/validated across multiple domains/problems; genomic data; healthcare; outcomes research; precision oncology; secondary use of clinical data; translational research;
D O I：
10.1016/j.patter.2020.100083
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of deidentified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data from the VA's nationwide electronic health record system and the VA Central Cancer Registry, targeted tumor sequencing data, and medical imaging data including computed tomography (CT) scans and pathology slides. A subset of the repository is available at the Genomic Data Commons (GDC) and The Cancer Imaging Archive (TCIA), and the full repository is available through the Veterans Precision Oncology Data Commons (VPODC). By releasing this de-identified dataset, we aim to advance Veterans' health care through enabling translational research on the Veteran population by a wide variety of researchers.
引用
收藏
页数：7
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