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Published on: April 10, 2021
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.
Summary
Scientists developed a collaborative primate life history database to study evolution. This model facilitates data sharing and archiving for broader research applications.
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.
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