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Survey of open science practices and attitudes in the social sciences

Author

Listed:
  • Ferguson, Joel
  • Littman, Rebecca
  • Christensen, Garret
  • Paluck, Elizabeth Levy
  • Swanson, Nicholas
  • Wang, Zenan
  • Miguel, Edward
  • Birke, David
  • Pezzuto, John-Henry

Abstract

Open science practices such as posting data or code and pre-registering analyses are increasingly prescribed and debated in the applied sciences, but the actual popularity and lifetime usage of these practices remain unknown. This study provides an assessment of attitudes toward, use of, and perceived norms regarding open science practices from a sample of authors published in top-10 (most-cited) journals and PhD students in top-20 ranked North American departments from four major social science disciplines: economics, political science, psychology, and sociology. We observe largely favorable private attitudes toward widespread lifetime usage (meaning that a researcher has used a particular practice at least once) of open science practices. As of 2020, nearly 90% of scholars had ever used at least one such practice. Support for posting data or code online is higher (88% overall support and nearly at the ceiling in some fields) than support for pre-registration (58% overall). With respect to norms, there is evidence that the scholars in our sample appear to underestimate the use of open science practices in their field. We also document that the reported lifetime prevalence of open science practices increased from 49% in 2010 to 87% a decade later.

Suggested Citation

  • Ferguson, Joel & Littman, Rebecca & Christensen, Garret & Paluck, Elizabeth Levy & Swanson, Nicholas & Wang, Zenan & Miguel, Edward & Birke, David & Pezzuto, John-Henry, 2023. "Survey of open science practices and attitudes in the social sciences," Department of Economics, Working Paper Series qt95g5h77z, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  • Handle: RePEc:cdl:econwp:qt95g5h77z
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    References listed on IDEAS

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    1. Garret Christensen & Edward Miguel, 2018. "Transparency, Reproducibility, and the Credibility of Economics Research," Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
    2. Burlig, Fiona, 2018. "Improving transparency in observational social science research: A pre-analysis plan approach," Economics Letters, Elsevier, vol. 168(C), pages 56-60.
    3. Garret Christensen & Allan Dafoe & Edward Miguel & Don A Moore & Andrew K Rose, 2019. "A study of the impact of data sharing on article citations using journal policies as a natural experiment," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    4. Lucas C. Coffman & Muriel Niederle, 2015. "Pre-analysis Plans Have Limited Upside, Especially Where Replications Are Feasible," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 81-98, Summer.
    5. Courtney K. Soderberg & Timothy M. Errington & Sarah R. Schiavone & Julia Bottesini & Felix Singleton Thorn & Simine Vazire & Kevin M. Esterling & Brian A. Nosek, 2021. "Initial evidence of research quality of registered reports compared with the standard publishing model," Nature Human Behaviour, Nature, vol. 5(8), pages 990-997, August.
    6. Monya Baker, 2016. "1,500 scientists lift the lid on reproducibility," Nature, Nature, vol. 533(7604), pages 452-454, May.
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    Citations

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    Cited by:

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    2. Balafoutas, Loukas & Celse, Jeremy & Karakostas, Alexandros & Umashev, Nicholas, 2025. "Incentives and the replication crisis in social sciences: A critical review of open science practices," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 114(C).
    3. Felix Holzmeister & Magnus Johannesson & Robert Böhm & Anna Dreber & Jürgen Huber & Michael Kirchler, 2023. "Heterogeneity in effect size estimates: Empirical evidence and practical implications," Working Papers 2023-17, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Bensch, Gunther & Rose, Julian & Brodeur, Abel & Ankel-Peters, Jörg, 2025. "The Robustness Dashboard," I4R Discussion Paper Series 234, The Institute for Replication (I4R).
      • Bensch, Gunther & Rose, Julian & Brodeur, Abel & Ankel-Peters, Jörg, 2025. "The robustness dashboard," Ruhr Economic Papers 1167, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    5. Imai, Taisuke & Toussaert, Séverine & Baillon, Aurélien & Dreber, Anna & Ertaç, Seda & Johannesson, Magnus & Neyse, Levent & Villeval, Marie Claire, 2025. "Pre-Registration and Pre-Analysis Plans in Experimental Economics," I4R Discussion Paper Series 220, The Institute for Replication (I4R).
    6. Brodeur, Abel & Mikola, Derek & Cook, Nikolai, 2024. "Mass Reproducibility and Replicability: A New Hope," IZA Discussion Papers 16912, IZA Network @ LISER.
    7. Rose, Julian & Neubauer, Florian & Ankel-Peters, Jörg, 2024. "Long-term effects of the targeting the ultra-poor program: A reproducibility and replicability assessment of Banerjee et al. (2021)," Ruhr Economic Papers 1107, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Weilun Wu & W Robert Reed, 2026. "Meta-analyses in management and marketing: Current practices and inferential consequences," Australian Journal of Management, Australian School of Business, vol. 51(2), pages 327-353, May.
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    10. Douglas Kiarelly Godoy de Araujo, 2025. "Open-sourced central bank macroeconomic models," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: enhancing the access to and sharing of data, volume 64, Bank for International Settlements.
    11. Matt Marx & Dror Shvadron, 2026. "The i3 BigQuery Workspace: Shared Infrastructure for Open Science," NBER Chapters, in: The Economics of Science: Taking Stock and Looking Ahead, National Bureau of Economic Research, Inc.

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