Presentation Details
| Megabi: A New Application to Clean and Analyze ZooMonitor Raw Data Megan Greenberg1, 2, Gabi Farris1. 1Canisius University, Buffalo, New York, USA.2Buffalo Zoo, Buffalo, New York, USA |
Abstract
ZooMonitor (ZM) is a widely used program in zoological facilities to collect behavioral data. While an incredibly helpful and user-friendly tool, the raw data can be unwieldy and confusing. With ZM’s increasing use, there has been a noticeable lack of tools created to support its raw data exports, often creating a bottleneck between data collection and actionable insights for animal welfare. Even at facilities with a larger behavioral staff or extensive research and data experience, users might spend hours cleaning and analyzing data- time that would be better spent on other tasks. Megabi seeks to fill this gap and provide a tool for ZM users that cleans and analyzes data accurately and efficiently. As a downloadable desktop application, Megabi is easy to use. Simply drag and drop your ZM raw data file, select the columns you are examining and comparing, and Megabi will do the rest; it cleans the data, produces an activity budget, statistically analyzes differences between conditions, and creates visualizations. We hope Megabi can be used to improve the efficiency of behavioral research, positively impacting the welfare of zoo-housed species everywhere.
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