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Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica A. Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Sharing Privacy-Sensitive Access To Neuroimaging And Genetics Data: A Review And Preliminary Validation, Anand D. Sarwate, Sergey M. Plis, Jessica Turner, Mohammad R. Arbabshirani, Vince D. Calhoun
Neuroscience Institute Faculty Publications
The growth of data sharing initiatives for neuroimaging and genomics represents an exciting opportunity to confront the “small N” problem that plagues contemporary neuroimaging studies while further understanding the role genetic markers play in the function of the brain. When it is possible, open data sharing provides the most benefits. However, some data cannot be shared at all due to privacy concerns and/or risk of re-identification. Sharing other data sets is hampered by the proliferation of complex data use agreements (DUAs) which preclude truly automated data mining. These DUAs arise because of concerns about the privacy and confidentiality for subjects; …
Harnessing Modern Web Application Technology To Create Intuitive And Efficient Data Visualization And Sharing Tools, Dylan Wood, Margaret D. King, Drew Landis, William Courtney, Runtang Wang, Ross Kelly, Jessica Turner, Vince D. Calhoun
Harnessing Modern Web Application Technology To Create Intuitive And Efficient Data Visualization And Sharing Tools, Dylan Wood, Margaret D. King, Drew Landis, William Courtney, Runtang Wang, Ross Kelly, Jessica Turner, Vince D. Calhoun
Psychology Faculty Publications
Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the same technologies that are currently revolutionizing the way that cultural and social media sites represent and share information with their users. Web application technologies and standards such as RESTful webservices, HTML5 and high-performance in-browser JavaScript engines are being utilized to vastly improve the way that the world accesses and shares information. The neuroscience community can also benefit tremendously from …
The Rise Of Large-Scale Imaging Studies In Psychiatry, Jessica Turner
The Rise Of Large-Scale Imaging Studies In Psychiatry, Jessica Turner
Neuroscience Institute Faculty Publications
From the initial arguments over whether 12 to 20 subjects were sufficient for an fMRI study, sample sizes in psychiatric neuroimaging studies have expanded into the tens of thousands. These large-scale imaging studies fall into several categories, each of which has specific advantages and challenges. The different study types can be grouped based on their level of control: meta-analyses, at one extreme of the spectrum, control nothing about the imaging protocol or subject selection criteria in the datasets they include, On the other hand, planned multi-site mega studies pour intense efforts into strictly having the same protocols. However, there are …