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Badges for sharing data and code at Biostatistics: an observational study.

Anisa Rowhani-Farid1, Adrian G Barnett1

  • 1Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, 4001, Australia.

F1000Research
|June 8, 2018
PubMed
Summary
This summary is machine-generated.

Journal badges for data sharing increased reproducibility by 7.6% but did not affect code sharing. Broken links were common, slightly impacting the observed effect of these badges on reproducible research.

Keywords:
Reproducibilitycode sharingdata sharingincentivesmeta-researchrewards

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Area of Science:

  • Biostatistics and scientific publishing
  • Reproducible research practices

Background:

  • The journal Biostatistics implemented a policy rewarding data and code sharing with badges.
  • This study evaluates the effectiveness of these badges in promoting reproducible research.

Purpose of the Study:

  • To investigate the impact of reproducibility badges on data and code sharing rates.
  • To compare the effectiveness of badges in Biostatistics versus a control journal.

Main Methods:

  • An observational study analyzing 240 articles from Biostatistics and Statistics in Medicine (control) archives (2006-2013).
  • Data analysis included plotting sharing probability over time and Bayesian logistic regression.
  • Examined the impact of broken links on sharing rates.

Main Results:

  • Biostatistics showed a higher probability of data sharing compared to the control journal.
  • Data sharing increased by 7.6% (absolute scale) after badge implementation, while code sharing remained comparable.
  • Badges did not significantly impact code sharing; broken links were prevalent in both journals.

Conclusions:

  • Reproducibility badges in Biostatistics led to a moderate increase in data sharing but had no effect on code sharing.
  • The observed effect on data sharing was less pronounced than in other studies, partly due to issues like broken links.
  • Badges represent a step towards incentivizing reproducible research, though further improvements are needed.