Chapter title |
SchizConnect: Virtual Data Integration in Neuroimaging.
|
---|---|
Chapter number | 4 |
Book title |
Data Integration in the Life Sciences
|
Published in |
Lecture notes in computer science, July 2015
|
DOI | 10.1007/978-3-319-21843-4_4 |
Pubmed ID | |
Book ISBNs |
978-3-31-921842-7, 978-3-31-921843-4
|
Authors |
Jose Luis Ambite, Marcelo Tallis, Kathryn Alpert, David B. Keator, Margaret King, Drew Landis, George Konstantinidis, Vince D. Calhoun, Steven G. Potkin, Jessica A. Turner, Lei Wang |
Editors |
Naveen Ashish, Jose-Luis Ambite |
Abstract |
In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN's Human Imaging Database (HID), MRN's Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 29% |
Student > Doctoral Student | 2 | 12% |
Professor > Associate Professor | 2 | 12% |
Other | 1 | 6% |
Student > Ph. D. Student | 1 | 6% |
Other | 3 | 18% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 4 | 24% |
Computer Science | 3 | 18% |
Arts and Humanities | 1 | 6% |
Unspecified | 1 | 6% |
Neuroscience | 1 | 6% |
Other | 1 | 6% |
Unknown | 6 | 35% |