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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Psychology Faculty Publications

2014

Neuroinformatics

Articles 1 - 2 of 2

Full-Text Articles in Social and Behavioral Sciences

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 Jan 2014

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 …


Automated Collection Of Imaging And Phenotypic Data To Centralized And Distributed Data Repositories, Margaret D. King, Dylan Wood, Brittny Miller, Ross Kelly, Drew Landis, William Courtney, Runtang Wang, Jessica A. Turner, Vince D. Calhoun Jan 2014

Automated Collection Of Imaging And Phenotypic Data To Centralized And Distributed Data Repositories, Margaret D. King, Dylan Wood, Brittny Miller, Ross Kelly, Drew Landis, William Courtney, Runtang Wang, Jessica A. Turner, Vince D. Calhoun

Psychology Faculty Publications

Accurate data collection at the ground level is vital to the integrity of neuroimaging research. Similarly important is the ability to connect and curate data in order to make it meaningful and sharable with other investigators. Collecting data, especially with several different modalities, can be time consuming and expensive. These issues have driven the development of automated collection of neuroimaging and clinical assessment data within COINS (Collaborative Informatics and Neuroimaging Suite). COINS is an end-to-end data management system. It provides a comprehensive platform for data collection, management, secure storage, and flexible data retrieval (Bockholt et al., 2010; Scott et al., …