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Biologging intelligent Platform (BiP): an integrated and standardized platform for sharing, visualizing, and
Katsufumi Sato1, Shinichi Watanabe2,3, Takuji Noda4
1Atmosphere and Ocean Research Institute, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa City, Chiba Prefecture, 277-8564, Japan. katsu@aori.u-tokyo.ac.jp.
Movement Ecology
|April 1, 2025
Summary
The Biologging intelligent Platform (BiP) standardizes and stores animal movement and behavioral data, promoting collaborative research and conservation. It enables data sharing and secondary analysis across disciplines, enhancing biological insights.
Area of Science:
- Ecology and Evolutionary Biology
- Animal Behavior
- Conservation Science
- Data Science
Background:
- Sharing biologging data is crucial for collaborative research, conservation, and understanding animal distribution and behavior.
- Existing data storage methods often lack standardization, hindering secondary data utilization and interdisciplinary applications.
- Biologging technology extends beyond biology, contributing to fields like meteorology and oceanography.
Purpose of the Study:
- To develop a standardized platform for storing and sharing diverse biologging data, including sensor, behavioral, and physiological information.
- To facilitate secondary data analysis and broader applications of biologging data across multiple scientific disciplines.
- To enhance data accessibility and promote collaborative research and biological conservation efforts.
Main Methods:
- Development of the Biologging intelligent Platform (BiP), adhering to international standards for sensor data and metadata.
- Implementation of interactive data upload, metadata input, and data standardization features for data owners.
- Integration of Online Analytical Processing (OLAP) tools for calculating environmental and behavioral parameters from animal-collected data.
Main Results:
- BiP successfully stores and standardizes biologging data, including sensor, behavioral, and physiological metrics, along with associated metadata.
- The platform provides open access to metadata and visualized route maps, with options for data owners to set private sharing permissions.
- Online Analytical Processing (OLAP) tools within BiP enable the calculation of environmental parameters (e.g., surface currents, winds) and estimation of behavioral parameters.
Conclusions:
- The Biologging intelligent Platform (BiP) effectively addresses the need for standardized, accessible, and shareable biologging data.
- BiP facilitates interdisciplinary research and conservation by enabling secondary data analysis and the calculation of environmental parameters.
- Future enhancements include linking with other databases and multi-repository storage to ensure long-term data sustainability and accessibility.
