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  • flattenedFauna
  • Audience and User Stories
  • Repository Software
  • Deposit Policy
  • Ingestion and Curation
  • Preservation Policies
  • File Naming Guide
  • License
  • Metadata Application Profile
  • Acknowledgments
  • References
  • Just for Fun
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flattenedFauna

A FAIR-adjacent repository for wildlife-vehicle collision mortality data.

NextAudience and User Stories

Last updated 5 years ago

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Lillian Curanzy | Christy McDaniel | Andrew Mckanna-Foster

Project Background

Wildlife vehicle collisions have been documented since the 1920’s (Stoner, 1925), but until recently most of this work was completed with pencil and paper, then reentered in a database (Huijser, 2007). The distribution of roadkill provides useful information for mitigation projects, such as exclusion fencing (Olson et al., 2014), but can also be used for general population studies or to set hunting limits (McCurry-Schmidt, 2010). Today, mobile apps are beginning to be used for data collection, and the rise of citizen science initiatives has been shown to be accurate and effective (Waetjen and Shilling, 2017). There are a multitude of data collection efforts from researchers, government departments, and volunteers, occurring at local, state, national, and even global scales. While these datasets have proved their importance in the scientific literature, there is no standard data collection protocol, a common repository, or a curation protocol. The flattenedFauna Repository serves as a collection point for these datasets to facilitate reuse and ensure preservation.

The flattenedFauna Repository (fF) addresses these needs by:

‌•Aggregating available data in one location

•Suggesting a standard set of data variables for future data collection

•Establishing a curation protocol to make data findable, accessible, interoperable, and reusable (FAIR).

Project Scope

flattenedFauna accepts all wildlife-vehicle collision mortality data collected from within the U.S. and Canada.

Dataset Landscape

There are numerous sources of roadkill data encompassing a variety of timespans, geographic and political boundaries, and levels of completeness. Below are examples of contributors and possible contributors to the fF Repository.

Idaho collects detailed roadkill data and makes the complete dataset available.
Annual Roadkill Data for Colorado is only available in pdf format.
An ecologist and educator started an app to collect roadkill sightings and makes the data available.
Adventure Scientists collects global roadkill data and makes data available for research by request.