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Interactive and Visualized Online Experimentation System for Engineering Education and Research
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A web-portal for interactive data exploration, visualization, and hypothesis testing.

Hauke Bartsch1, Wesley K Thompson1, Terry L Jernigan2

  • 1Multi-Modal Imaging Laboratory, Department of Radiology, University of California, San Diego San Diego, CA, USA.

Frontiers in Neuroinformatics
|April 12, 2014
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Summary
This summary is machine-generated.

Clinical research data sharing and analysis are challenging. A new Data Portal infrastructure integrates neurocognition, imaging, and genetics data, enabling easier exploration and statistical analysis for researchers.

Keywords:
data dictionarydata explorationdata sharinggeneticshypothesis testingimaging

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Area of Science:

  • Neuroscience
  • Genetics
  • Medical Imaging

Background:

  • Clinical research generates complex data requiring secure sharing and statistical analysis across institutions.
  • Distributed research environments and diverse data domains pose significant challenges to data integration, exploration, and visualization.

Purpose of the Study:

  • To develop and implement a Data Portal infrastructure to facilitate data sharing, exploration, and statistical analysis for clinical research studies.
  • To support ongoing research in neurocognition, imaging, and genetics by integrating diverse data sources.

Main Methods:

  • Developed a web-based Data Portal infrastructure integrating data from neurocognition, imaging, and genetics domains.
  • Incorporated explicit knowledge representation from domain experts.
  • Provided user interfaces for convenient access to data resources and algorithms.
  • Implemented interactive tools for statistical analysis, data mining, and hypothesis testing.

Main Results:

  • The Data Portal successfully integrated disparate data sources across research domains.
  • Researchers gained convenient access to project-specific data and analytical tools.
  • The system facilitated interactive statistical analysis, data mining, and hypothesis testing.
  • Public data sharing was integrated into the system, fulfilling research mandates.

Conclusions:

  • The Data Portal infrastructure effectively addresses challenges in clinical research data sharing and analysis.
  • The platform enhances research efficiency by providing integrated data access and analytical capabilities.
  • The system supports the lifetime exploration of study data and promotes public data sharing.