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Case studies in reproducibility

Briefings in BioinformaticsPublished 28 January 2011Open access
Torsten Hothorn, Friedrich Leisch
Citations83
SJR quartileQ1
SJR score2.39
SNIP1.72
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TL;DR

A survey comprising 100 papers recently published in Bioinformatics finds that authors of this journal share a culture of making data available, but the number of papers where source code for simulation studies or analyzes is still rather limited.

Abstract

Reproducible research is a concept of providing access to data and software along with published scientific findings. By means of some case studies from different disciplines, we will illustrate reasons why readers should be given the possibility to look at the data and software independently from the authors of the original publication. We report results of a survey comprising 100 papers recently published in Bioinformatics. The main finding is that authors of this journal share a culture of making data available. However, the number of papers where source code for simulation studies or analyzes is available is still rather limited.

Keywords

Computer ScienceEarth and Planetary SciencesEnvironmental Science