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Related Experiment Video

Updated: Jul 19, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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Care to share? Experimental evidence on code sharing behavior in the social sciences.

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  • 1Department of Sociology, University of Munich (LMU), Munich, Germany.

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Summary

Researchers are more likely to share scientific code when requests mention the replication crisis. This highlights the need for institutional change rather than individual interventions to improve research transparency.

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Area of Science:

  • Social Sciences
  • Research Methodology
  • Scientific Transparency

Background:

  • Replication and reproduction are essential for scientific integrity.
  • Sharing data and analysis code is crucial for enabling replications, especially in complex large-N observational studies.
  • Understanding factors influencing researchers' willingness to share code is vital for promoting open science.

Purpose of the Study:

  • To investigate factors influencing researchers' code sharing behavior upon request.
  • To experimentally test the impact of request framing, appeal type, and perceived effort on code sharing.
  • To identify effective strategies for increasing the availability of research code.

Main Methods:

  • A preregistered multifactorial field experiment involving 1,206 authors who published using European Social Survey data (2015-2020).
  • Email requests with randomly varied framing (enhancement vs. replication crisis), appeal (FAIR, altruism, citation, none), and perceived effort (cleaning required/not required).
  • Analysis of code sharing rates based on experimental treatments.

Main Results:

  • Overall, 37.5% of contacted authors shared their analysis code.
  • Request framing significantly influenced code sharing; mentioning the replication crisis increased sharing rates.
  • Appeals to FAIR principles, academic altruism, or citation prospects, and information on code cleaning effort, did not significantly affect sharing behavior.

Conclusions:

  • Individual, small-scale interventions are insufficient to significantly enhance research code availability.
  • Framing requests around the replication crisis can positively impact code sharing, but its effect is limited.
  • Systemic, large-scale institutional norms and policies are necessary to foster widespread research code sharing and improve scientific transparency.