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Related Concept Videos

Correlation of Experimental Data01:23

Correlation of Experimental Data

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Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
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Related Experiment Video

Updated: Feb 27, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Federating Heterogeneous Datasets to Enhance Data Sharing and Experiment Reproducibility.

Juan C Prieto1, Beatriz Paniagua1, Marilia S Yatabe2

  • 1NIRAL, UNC, Chapel Hill, North Carolina, United States.

Proceedings of Spie--The International Society for Optical Engineering
|July 11, 2017
PubMed
Summary

Reproducibility in scientific research is challenging. Shiny-tooth, a web application, enhances clinical trial data acquisition and sharing to improve experiment reproducibility, currently used for an osteoarthritis study.

Keywords:
Data federationclinical datade-identifiedreproducibilitysharingweb visualization

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Area of Science:

  • Biomedical Imaging
  • Clinical Data Management
  • Scientific Reproducibility

Background:

  • Replication of scientific findings is increasingly difficult, with smaller effect sizes reported in subsequent studies.
  • Complex experimental designs and pressure for positive results contribute to reproducibility issues.
  • The International Committee of Medical Journal Editors recommends data sharing plans to enhance transparency.

Purpose of the Study:

  • To introduce Shiny-tooth, a web-based application designed to improve clinical data acquisition.
  • To facilitate data federation of clinical and morphological data from medical images.
  • To address the growing demand for enhanced data management and sharing for future experiment reproducibility.

Main Methods:

  • Development of Shiny-tooth, a web-based application for clinical trial data management.
  • Implementation of data federation capabilities for clinical and image-derived morphological data.
  • Current application of Shiny-tooth for storing clinical data from an osteoarthritis study.

Main Results:

  • Shiny-tooth improves clinical data acquisition during trials.
  • The application enables data federation across different data types.
  • It provides a centralized system for managing study data, exemplified by its use in an OA study.

Conclusions:

  • Shiny-tooth offers a solution to enhance clinical data management and sharing.
  • The application supports the goal of improving scientific experiment reproducibility.
  • Its current use in an osteoarthritis study demonstrates its practical utility.