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XNAT Central: Open Sourcing Imaging Research Data

Institution:
1Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA. Electronic address: rick.herrick@wustl.edu.
2Deck5 Consulting, Normal, IL, USA.
Publication Date:
Jan-2016
Journal:
Neuroimage
Volume Number:
124
Issue Number:
Pt B
Pages:
1093-6
Citation:
Neuroimage. 2016 Jan 1;124(Pt B):1093-6.
PubMed ID:
26143202
PMCID:
PMC4965359
Keywords:
Data sharing, Neuroinformatics databases, Open access, Open source, XNAT, XNAT Central
Appears in Collections:
NA-MIC
Sponsors:
R01 EB009352/EB/NIBIB NIH HHS/United States
U24 RR025736/RR/NCRR NIH HHS/United States
U24 RR026057/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Herrick R., Horton W., Olsen T., McKay M., Archie K.A., Marcus D.S. XNAT Central: Open Sourcing Imaging Research Data. Neuroimage. 2016 Jan 1;124(Pt B):1093-6. PMID: 26143202. PMCID: PMC4965359.
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XNAT Central is a publicly accessible medical imaging data repository based on the XNAT open-source imaging informatics platform. It hosts a wide variety of research imaging data sets. The primary motivation for creating XNAT Central was to provide a central repository to host and provide access to a wide variety of neuroimaging data. In this capacity, XNAT Central hosts a number of data sets from research labs and investigative efforts from around the world, including the OASIS Brains imaging studies, the NUSDAST study of schizophrenia, and more. Over time, XNAT Central has expanded to include imaging data from many different fields of research, including oncology, orthopedics, cardiology, and animal studies, but continues to emphasize neuroimaging data. Through the use of XNAT's DICOM metadata extraction capabilities, XNAT Central provides a searchable repository of imaging data that can be referenced by groups, labs, or individuals working in many different areas of research. The future development of XNAT Central will be geared towards greater ease of use as a reference library of heterogeneous neuroimaging data and associated synthetic data. It will also become a tool for making data available supporting published research and academic articles.