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Creation and Maintenance of a Living Biobank - How We Do It
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The Primate Life History Database: A unique shared ecological data resource.

Karen B Strier1, Jeanne Altmann, Diane K Brockman

  • 1Department of Anthropology, University of Wisconsin-Madison, Madison, WI, USA.

Methods in Ecology and Evolution
|June 24, 2011
PubMed
Summary

Scientists developed a collaborative primate life history database to study evolution. This model facilitates data sharing and archiving for broader research applications.

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Area of Science:

  • Evolutionary biology
  • Primate ecology
  • Data science

Background:

  • Growing recognition of the importance of data archiving, sharing, and public access in scientific research.
  • Collaborative databases are increasingly seen as essential tools for facilitating these data management practices.

Purpose of the Study:

  • To describe a collaborative life history database for wild primates developed at the National Evolutionary Synthesis Center (NESCent).
  • To address research questions concerning life history patterns and the evolution of mortality and demographic variability in primates.
  • To provide a model for developing similar databases for other organisms and collaborative analyses.

Main Methods:

  • Development of a collaborative life history database incorporating data from seven primate species.
  • Standardization of data across diverse field studies, including challenges, decision-making, and criteria.
  • Description of descriptive, structural, and process metadata, along with technical specifications.

Main Results:

  • The database integrates diverse life history data for seven wild primate species.
  • Standardization processes and criteria for data integration across field studies were established.
  • Detailed metadata, including process metadata on database development, were documented.

Conclusions:

  • The developed primate life history database serves as a valuable model for researchers creating similar databases for other taxa.
  • The documented process metadata can assist other research groups in developing databases for collaborative analyses.
  • This work highlights the utility of collaborative databases in advancing evolutionary and demographic research.