Research

  • Standardized admission and disposition (outcome) information is collected on each patient from participating wildlife rehabilitation facilities throughout North America. Global coverage is expanding and new organizations join every month.

 

  • Participating facilities range from home-based rehabilitators to professional wildlife rehabilitation centers.

 

  • Selected fields are queried and combined from each participating organization to make the largest North American wildlife rehabilitation dataset ever created!

 

  • WILD-ONe includes data fields needed to complete annual permits in every U.S. state and Canadian province.

 

  • Efforts to include historic datasets are underway.

  • WILD-ONe uses adopted international data standards allowing for data sharing and collaboration.

 

  • Required fields are formatted in drop-down menus with auto-text features for quick and consistent data entry and reporting.

 

  • Required fields include:
    • Dates of admission and disposition
    • Circumstances of rescue (including relevant details) and degree of certainty
    • Location of rescue and release (GIS coordinates, address, jurisdiction, state/province, country)
    • Unique case number
    • Species
    • Gender
    • Life Stage
    • Type and anatomical location of injury or problem
    • Final Disposition

  • The combined WILD-ONe dataset is validated every 3 months to ensure accurate and reliable information.

 

  • The dataset is validated in multiple formats (+/- certain fields) to best meet the needs of a variety of research projects.

  • We share the WILD-ONe dataset with colleagues conducting legitimate conservation research projects.

 

  • To request use of WILD-ONe data (public information fields only) please send an e-mail to wild-one@wildlifecenter.org. Include a brief description of the project, any deadlines, and your contact information.

  • Online incident database are expensive and timely to create from scratch.

 

  • The WILD-ONe program can be reformatted to collect incident data for reasons other than wildlife rehabilitation. Academic, government, NGO’s, and other researchers may be interested in this comparatively inexpensive option.