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From Static to Interactive: Transforming Data Visualization to Improve Transparency

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  • Tracey L Weissgerber
  • Vesna D Garovic
  • Marko Savic
  • Stacey J Winham
  • Natasa M Milic

Abstract

Data presentation for scientific publications in small sample size studies has not changed substantially in decades. It relies on static figures and tables that may not provide sufficient information for critical evaluation, particularly of the results from small sample size studies. Interactive graphics have the potential to transform scientific publications from static reports of experiments into interactive datasets. We designed an interactive line graph that demonstrates how dynamic alternatives to static graphics for small sample size studies allow for additional exploration of empirical datasets. This simple, free, web-based tool (http://statistika.mfub.bg.ac.rs/interactive-graph/) demonstrates the overall concept and may promote widespread use of interactive graphics.This article examines the potential for interactive graphics to transform scientific papers from static publications into interactive datasets and provides a web-based tool for creating interactive line graphs.

Suggested Citation

  • Tracey L Weissgerber & Vesna D Garovic & Marko Savic & Stacey J Winham & Natasa M Milic, 2016. "From Static to Interactive: Transforming Data Visualization to Improve Transparency," PLOS Biology, Public Library of Science, vol. 14(6), pages 1-8, June.
    • Handle: RePEc:plo:pbio00:1002484
    DOI: 10.1371/journal.pbio.1002484
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    References listed on IDEAS

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    1. Meredith Wadman, 2013. "NIH mulls rules for validating key results," Nature, Nature, vol. 500(7460), pages 14-16, August.
    2. Tracey L Weissgerber & Natasa M Milic & Stacey J Winham & Vesna D Garovic, 2015. "Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm," PLOS Biology, Public Library of Science, vol. 13(4), pages 1-10, April.
    3. Constance Holman & Sophie K Piper & Ulrike Grittner & Andreas Antonios Diamantaras & Jonathan Kimmelman & Bob Siegerink & Ulrich Dirnagl, 2016. "Where Have All the Rodents Gone? The Effects of Attrition in Experimental Research on Cancer and Stroke," PLOS Biology, Public Library of Science, vol. 14(1), pages 1-12, January.
    4. Francis S. Collins & Lawrence A. Tabak, 2014. "Policy: NIH plans to enhance reproducibility," Nature, Nature, vol. 505(7485), pages 612-613, January.
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    Cited by:

    1. Jesús Peral & Eduardo Gallego & David Gil & Mohan Tanniru & Prashant Khambekar, 2020. "Using Visualization to Build Transparency in a Healthcare Blockchain Application," Sustainability, MDPI, vol. 12(17), pages 1-20, August.

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