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The advantage of big team science: Lessons learned from dognitive science

Vaidis, David C., Miranda, Jacob F., Buchanan, Erin M., Fang Yang, Yu, Kowal, Marta and Oliveira, Catia 2026. The advantage of big team science: Lessons learned from dognitive science. Collabra: Psychology 12 (1) , 160129. 10.1525/collabra.160129

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License URL: http://creativecommons.org/licenses/by/4.0
License Start date: 1 May 2026

Abstract

The credibility revolution in psychology and related sciences contributed to the adoption of large-scale research initiatives known as Big Team Science (BTS). BTS has made significant advances in addressing issues of replication, statistical power, and diversity through the use of larger samples and more representative cross-cultural data. However, while these collaborations hold great potential, they also introduce unique challenges related to their scale. Drawing on experiences from successful BTS projects, we identified and outlined key strategies for overcoming diversity, volunteering, and capacity challenges. We emphasize the need for clear role definitions, structured and preregistered workflows, centralized project management, and transparent decision documenting to prevent common pitfalls. Ultimately, we call for reflection on the strengths and limitations of BTS to enhance the quality, generalizability, and impact of research across disciplines. This work complements existing BTS guides by offering experientially-grounded, discipline-specific strategies and addressing underexplored logistical, ethical, and epistemological challenges in large-scale collaborations.

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Schools > Psychology
Additional Information: License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by/4.0, Start Date: 2026-05-01
Publisher: University of California Press
Date of First Compliant Deposit: 14 May 2026
Date of Acceptance: 30 March 2026
Last Modified: 15 May 2026 09:31
URI: https://orca.cardiff.ac.uk/id/eprint/187008

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