Reproducible Research in Computational Science: An Overview

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Apr 18, 2020 · 4 min read
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Photo by Markus Spiske on Unsplash

The Definition of Reproducibility

The reproducibility of research is an outsider’s ability to reproduce the presented results of that research with reasonably small effort. According to a highly cited paper by Roger D. Peng, “the standard of reproducibility calls for the data and the computer code used to analyze the data be made available to others.” Peng suggests this standard is just the bare minimum needed and claims that reproducibility is a spectrum.

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Fig. 1. The spectrum of reproducibility.

On Reproducibility of “Bilateral Maps for Partial Matching”

According to the criteria described above, let’s evaluate a paper in terms of its reproducibility. Kaick et al., at Bilateral Maps for Partial Matching, represents a new local shape descriptor whose region of interest is defined by two feature points. Then they further demonstrate how this new feature descriptor is particularly useful for partial shape matching.

References

Peng, Roger D. (2011). Reproducible Research in Computational Science. American Association for the Advancement of Science. SCIENCE 2011. 10.1126/science.1213847.

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Written by

Software Architect/Consultant/Advisor at Various Startups. Was a Founding Engineer @Udemy.

Science and Philosophy

Medium’s center for scientifically-informed content.

Cansın Yıldız

Written by

Software Architect/Consultant/Advisor at Various Startups. Was a Founding Engineer @Udemy.

Science and Philosophy

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