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Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools

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 revolution...

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Autores principales: Wood, Dylan, King, Margaret, Landis, Drew, Courtney, William, Wang, Runtang, Kelly, Ross, Turner, Jessica A., Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144441/
https://www.ncbi.nlm.nih.gov/pubmed/25206330
http://dx.doi.org/10.3389/fninf.2014.00071
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author Wood, Dylan
King, Margaret
Landis, Drew
Courtney, William
Wang, Runtang
Kelly, Ross
Turner, Jessica A.
Calhoun, Vince D.
author_facet Wood, Dylan
King, Margaret
Landis, Drew
Courtney, William
Wang, Runtang
Kelly, Ross
Turner, Jessica A.
Calhoun, Vince D.
author_sort Wood, Dylan
collection PubMed
description 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 these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data.
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spelling pubmed-41444412014-09-09 Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools Wood, Dylan King, Margaret Landis, Drew Courtney, William Wang, Runtang Kelly, Ross Turner, Jessica A. Calhoun, Vince D. Front Neuroinform Neuroscience 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 these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data. Frontiers Media S.A. 2014-08-26 /pmc/articles/PMC4144441/ /pubmed/25206330 http://dx.doi.org/10.3389/fninf.2014.00071 Text en Copyright © 2014 Wood, King, Landis, Courtney, Wang, Kelly, Turner and Calhoun. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Wood, Dylan
King, Margaret
Landis, Drew
Courtney, William
Wang, Runtang
Kelly, Ross
Turner, Jessica A.
Calhoun, Vince D.
Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title_full Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title_fullStr Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title_full_unstemmed Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title_short Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
title_sort harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144441/
https://www.ncbi.nlm.nih.gov/pubmed/25206330
http://dx.doi.org/10.3389/fninf.2014.00071
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