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Ending publication bias: A values-based approach to surface null and negative results

Author

Listed:
  • Stephen Curry
  • Eunice Mercado-Lara
  • Virginia Arechavala-Gomeza
  • C Glenn Begley
  • Christophe Bernard
  • René Bernard
  • Stefano Bertuzzi
  • Needhi Bhalla
  • Dawn Bowers
  • Samuel Brod
  • Christopher Chambers
  • Michael R Dougherty
  • Yensi Flores Bueso
  • Stefânia Forner
  • Alexandra L J Freeman
  • Magali Haas
  • Darla P Henderson
  • Kanika Khanna
  • Rebecca Lawrence
  • Kif Liakath-Ali
  • Christine Liu
  • Neil Malhotra
  • José G Merino
  • Edward Miguel
  • Rachel Miles
  • Mary Munson
  • Shinichi Nakagawa
  • Robert Nobles
  • Joy Owango
  • Michel Tuan Pham
  • Gina Poe
  • Alexandra N Ramirez
  • Sarvenaz Sarabipour
  • Jill L Silverman
  • Laura N Smith
  • P Sriramarao
  • Paul W Sternberg
  • Geeta K Swamy
  • Malú Gámez Tansey
  • Gonzalo E Torres
  • Erick H Turner
  • Lauren von Klinggraeff
  • Frances Weis-Garcia

Abstract

Sharing knowledge is a basic tenet of the scientific community, yet publication bias arising from the reluctance or inability to publish negative or null results remains a long-standing and deep-seated problem, albeit one that varies in severity between disciplines and study types. Recognizing that previous endeavors to address the issue have been fragmentary and largely unsuccessful, this Consensus View proposes concrete and concerted measures that major stakeholders can take to create and incentivize new pathways for publishing negative results. Funders, research institutions, publishers, learned societies, and the research community all have a role in making this an achievable norm that will buttress public trust in science.Sharing knowledge is a fundamental principle within the scientific community, yet null and negative results are still being underreported. This Consensus View discusses the problem of such publication bias and presents a roadmap to a solution that has a role for everyone in the scientific community in promoting knowledge sharing, research transparency and rigor.

Suggested Citation

  • Stephen Curry & Eunice Mercado-Lara & Virginia Arechavala-Gomeza & C Glenn Begley & Christophe Bernard & René Bernard & Stefano Bertuzzi & Needhi Bhalla & Dawn Bowers & Samuel Brod & Christopher Chamb, 2025. "Ending publication bias: A values-based approach to surface null and negative results," PLOS Biology, Public Library of Science, vol. 23(9), pages 1-10, September.
  • Handle: RePEc:plo:pbio00:3003368
    DOI: 10.1371/journal.pbio.3003368
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