Evidence map›Paper›PMID 25206330›Full record

ArticleFrontiers in neuroinformatics2014

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

Dylan Wood, Margaret King, Drew Landis, William Courtney, Runtang Wang, Ross Kelly, Jessica A Turner, Vince D Calhoun

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Multiple functional connectivity networks fusion for schizophrenia diagnosis.Medical & biological engineering & computing · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Dylan WoodThe Mind Research Network and LBERI Albuquerque, NM, USA.
Margaret KingThe Mind Research Network and LBERI Albuquerque, NM, USA.
Drew LandisThe Mind Research Network and LBERI Albuquerque, NM, USA.
William CourtneyThe Mind Research Network and LBERI Albuquerque, NM, USA.
Runtang WangThe Mind Research Network and LBERI Albuquerque, NM, USA.
Ross KellyThe Mind Research Network and LBERI Albuquerque, NM, USA.
Jessica A TurnerThe Mind Research Network and LBERI Albuquerque, NM, USA ; Department of Psychology, Georgia State University Atlanta, GA, USA.
Vince D CalhounThe Mind Research Network and LBERI Albuquerque, NM, USA ; Department of Electrical and Computer Engineering, University of New Mexico Albuquerque, NM, USA.

Funding

Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI ABBOTT, CHRISTOPHER C · 2012 to 2017
$14.3M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
SchizConnect: Large-Scale Schizophrenia Neuroimaging Data Mediation & FederationU01MH097435 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI AMBITE, JOSE LUIS, POTKIN, STEVEN G · 2013 to 2016
$2.0M
NIBIB NIH HHS R01 EB005846NIGMS NIH HHS P20 GM103472NIMH NIH HHS U01 MH097435
6 · The paper itself

Abstract

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.

Indexed as

big datadata sharingjavascriptneuroinformaticsopen neurosciencequery builder

Identifiers

PMID25206330
PMCPMC4144441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.