TY - CHAP
T1 - Collaboration and open science initiatives in primate research
AU - Many Primates
AU - Altschul, Drew
AU - Bohn, Manuel
AU - Canteloup, Charlotte
AU - Ebel, Sonja J.
AU - Hernandez-Aguilar, R.
AU - Joly, Marine
AU - Keupp, Stefanie
AU - Miquel, Llorente
AU - Petkov, Christopher I.
AU - Proctor, Darby
AU - Motes Rodrigo, Alba
AU - Sutherland, Kirsten
AU - Szabelska, Anna
AU - Taylor, Derry James
AU - Völter, Christoph J.
AU - Wiggenhauser, Nicolás G.
PY - 2021
Y1 - 2021
N2 - Traditionally, primate cognition research has been conducted by independent teams on small populations of a few species. Such limited variation and small sample sizes pose problems that prevent us from reconstructing the evolutionary history of primate cognition. In this chapter, we discuss how large-scale collaboration, a research model successfully implemented in other fields, makes it possible to obtain the large and diverse datasets needed to conduct robust comparative analysis of primate cognitive abilities. We discuss the advantages and challenges of large-scale collaborations and argue for the need for more open science practices in the field. We describe these collaborative projects in psychology and primatology and introduce ManyPrimates as the first, successful collaboration that has established an infrastructure for large-scale, inclusive research in primate cognition. Considering examples of large-scale collaborations both in primatology and psychology, we conclude that this type of research model is feasible and has the potential to address otherwise unattainable questions in primate cognition.
AB - Traditionally, primate cognition research has been conducted by independent teams on small populations of a few species. Such limited variation and small sample sizes pose problems that prevent us from reconstructing the evolutionary history of primate cognition. In this chapter, we discuss how large-scale collaboration, a research model successfully implemented in other fields, makes it possible to obtain the large and diverse datasets needed to conduct robust comparative analysis of primate cognitive abilities. We discuss the advantages and challenges of large-scale collaborations and argue for the need for more open science practices in the field. We describe these collaborative projects in psychology and primatology and introduce ManyPrimates as the first, successful collaboration that has established an infrastructure for large-scale, inclusive research in primate cognition. Considering examples of large-scale collaborations both in primatology and psychology, we conclude that this type of research model is feasible and has the potential to address otherwise unattainable questions in primate cognition.
UR - https://osf.io/7c93a/
M3 - Chapter (peer-reviewed)
BT - Primate Cognitive Studies
PB - Cambridge University Press
ER -