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Open Science, Closed Peer Review?

Author

Listed:
  • Evans, Daniel
  • Dreber, Anna

    (Stockholm School of Economics)

  • Gill, Adam
  • Toussaert, Severine

    (University of Oxford)

  • Charness, Gary

Abstract

Open science initiatives have gained traction in recent years. However, open peer-review practices, i.e., reforms that (i) modify the identifiability of stakeholders and (ii) establish channels for the open communication of information between stakeholders, have seen very little adoption in economics. In this paper, we explore the feasibility and desirability of such reforms. We present insights derived from survey data documenting the attitudes of 802 experimental/behavioral economists, a conceptual framework, a literature review, and cross-disciplinary data on current journal practices. On (i), most respondents support preserving anonymity for referees, but views about anonymity for authors and associate editors are mixed. On (ii), most respondents are open to publishing anonymized referee reports, sharing reports between referees, and allowing authors to appeal editorial decisions. Active reviewers, editors, and respondents from the US/Canada are generally less open to transparency reforms.

Suggested Citation

  • Evans, Daniel & Dreber, Anna & Gill, Adam & Toussaert, Severine & Charness, Gary, 2025. "Open Science, Closed Peer Review?," MetaArXiv dmgex_v1, Center for Open Science.
  • Handle: RePEc:osf:metaar:dmgex_v1
    DOI: 10.31219/osf.io/dmgex_v1
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    References listed on IDEAS

    as
    1. Fulya Y. Ersoy & Jennifer Pate, 2023. "Invisible hurdles: Gender and institutional differences in the evaluation of economics papers," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 777-797, October.
    2. Dietmar Wolfram & Peiling Wang & Adam Hembree & Hyoungjoo Park, 2020. "Open peer review: promoting transparency in open science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1033-1051, November.
    3. Aboozar Hadavand & Daniel S. Hamermesh & Wesley W. Wilson, 2024. "Publishing Economics: How Slow? Why Slow? Is Slow Productive? How to Fix Slow?," Journal of Economic Literature, American Economic Association, vol. 62(1), pages 269-293, March.
    4. Daniel S. Hamermesh, 1994. "Facts and Myths about Refereeing," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 153-163, Winter.
    5. Giangiacomo Bravo & Francisco Grimaldo & Emilia López-Iñesta & Bahar Mehmani & Flaminio Squazzoni, 2019. "The effect of publishing peer review reports on referee behavior in five scholarly journals," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    6. David Card & Stefano DellaVigna, 2020. "What Do Editors Maximize? Evidence from Four Economics Journals," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 195-217, March.
    7. Qianjin Zong & Yafen Xie & Jiechun Liang, 2020. "Does open peer review improve citation count? Evidence from a propensity score matching analysis of PeerJ," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 607-623, October.
    8. Julian Kolev & Yuly Fuentes-Medel & Fiona Murray, 2019. "Is Blinded Review Enough? How Gendered Outcomes Arise Even Under Anonymous Evaluation," NBER Working Papers 25759, National Bureau of Economic Research, Inc.
    9. repec:plo:pone00:0189311 is not listed on IDEAS
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