The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database
Open accessAbstract
The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified 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.
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VA-PODR data consists of long-term clinical data from the nationwide Veterans Affairs eHealth record, medical photography data, tumor sequencing targets, pathology slides, the Veterans Affairs central cancer registry, and CT scans.
“This data consists of long-term clinical data from the nationwide Veterans Affairs eHealth record, medical photography data, tumor sequencing targets, pathology slides, and the Veterans Affairs central cancer registry as well as CT (computer tomography) scans.”
From Influential Usage of Big Data and Artificial Intelligence in Healthcare (2021) · cites this paper as [67]
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- Authors
- Elbers, D. C., Fillmore, N. R., Sung, F.-C., Ganas, S. S., Prokhorenkov, A., Meyer, C., Hall, R. B., Ajjarapu, S. J., Chen, D. C., Meng, F., Grossman, R. L., Brophy, M. T., & Do, N. V.
- Affiliations
- University of Vermont (US)
- Harvard University (US)
- VA Boston Healthcare System (US)
- University of Chicago (US)
- Boston University (US)
- Corresponding author
- Elbers, Danne C.
- ORCID
- Venue
- Patterns
- Publisher
- Elsevier BV
- Published
- 2020-09
- Volume
- 1
- Issue
- 6
- Pages
- 100083
- ISSN
- 2666-3899 (ISSN-L)
- PMC
- PMC7660389
- OpenAlex
- W3077852914
- Cited by
- 15
- References
- 18
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 4
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Patterns (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- VA Office of Research and Development
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- precision oncology, veterans, cancer, electronic health records, tumor sequencing, diagnostic imaging, computed tomography, pathology slides, Genomic Data Commons, The Cancer Imaging Archive, translational research
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