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MacaqueNet: Advancing comparative behavioural research through large-scale collaboration.

Delphine De Moor1, Macaela Skelton1,

  • 1School of Psychology, Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK.

The Journal of Animal Ecology
|February 12, 2025
PubMed
Summary
This summary is machine-generated.

MacaqueNet created a standardized, searchable database for macaque social behavior, compiling data from 14 species. This collaborative effort facilitates cross-species research and promotes data sharing among scientists.

Keywords:
Macacacomparative researchdata sharingdatabaseprimatesrepositorysocial networksteam science

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Area of Science:

  • Ethology
  • Comparative Psychology
  • Bioinformatics

Background:

  • Vast amounts of animal behavioral data exist but are underutilized for cross-species comparisons due to standardization challenges.
  • Lack of accessible, standardized databases hinders systematic research on ecological and evolutionary drivers of animal behavior variation.
  • Big-team approaches offer a solution by pooling data and expertise, promoting data sharing and reuse.

Purpose of the Study:

  • To introduce MacaqueNet, a global collaborative database for standardized macaque social behavior data.
  • To facilitate reliable cross-species comparisons of affiliative and agonistic behaviors in macaques.
  • To provide a replicable template for establishing large-scale, collaborative comparative databases.

Main Methods:

  • Established a global collaboration of over 100 researchers.
  • Developed standardized protocols for data entry and retrieval.
  • Created an R package for data standardization, website code, database structure, and data sharing terms.

Main Results:

  • MacaqueNet database includes data from 1981 to present, covering 61 populations across 14 macaque species.
  • It is the first publicly searchable and standardized database for affiliative and agonistic animal social behavior.
  • All component resources are openly accessible, enabling replication.

Conclusions:

  • MacaqueNet unlocks the potential of cross-species data for macaque social behavior research.
  • The project demonstrates the effectiveness of large-scale collaborations in creating valuable scientific resources.
  • MacaqueNet serves as a model for future comparative database initiatives.