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A simple method for obtaining original data from published graphs and plots.

C L Sistrom1, P J Mergo

  • 1Department of Radiology, University of Florida College of Medicine, Gainesville 32610-0374, USA.

AJR. American Journal of Roentgenology
|May 2, 2000
PubMed
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This study presents a simple method to extract original numeric data from published medical graphs and scatterplots. This technique is valuable for data reuse when original data are inaccessible.

Area of Science:

  • Medical Informatics
  • Data Science
  • Biostatistics

Background:

  • Medical literature often contains valuable data presented in graphical formats like graphs and scatterplots.
  • Direct access to original data from authors is not always feasible, hindering secondary data analysis and research.
  • There is a need for reliable methods to extract quantitative information from published figures.

Purpose of the Study:

  • To introduce and validate a straightforward methodology for extracting original data values from scanned images of graphs and scatterplots.
  • To provide researchers with a tool for data acquisition from published medical literature when direct data sharing is unavailable.

Main Methods:

  • The described method involves using image analysis software to digitize points and curves from scanned graph images.

Related Experiment Videos

  • Calibration using known data points or axes is performed to ensure accurate scaling.
  • Data extraction is achieved by tracing or point selection on the digitized image.

    • Main Results:

    • The developed procedure allows for the derivation of original data values from various graphical representations.
    • The method is demonstrated to be simple and reproducible.
    • Careful execution ensures a low error rate in data extraction.

    Conclusions:

    • This technique offers a practical solution for converting published graphical data into usable numeric formats.
    • It enhances the accessibility of data for meta-analyses, systematic reviews, and further research when primary data are not directly obtainable.
    • The method is a valuable asset for medical researchers seeking to leverage existing published data.