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A born-digital field-to-database solution for collections-based research using collNotes and collBook.

Caleb Powell1, Jacob Motley2, Hong Qin1

  • 1Department of Biology Geology and Environmental Science University of Tennessee at Chattanooga 615 McCallie Avenue Chattanooga Tennessee 37403 USA.

Applications in Plant Sciences
|August 31, 2019
PubMed
Summary
This summary is machine-generated.

New mobile and desktop applications, collNotes and collBook, streamline the collection of born-digital specimen data for plants and fungi. This field-to-database solution enhances natural history collection digitization efforts.

Keywords:
biodiversity databorn digitalcollection appfield workherbarium labelsnatural history collections

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Area of Science:

  • Natural History
  • Botany
  • Mycology
  • Biodiversity Informatics

Background:

  • Digitizing natural history collections involves transcribing specimen label data.
  • Born-digital specimen data bypasses transcription, allowing for efficient integration.
  • Modernizing field collection requires new digital tools and workflows.

Purpose of the Study:

  • To develop and present a digital field-to-database solution for collecting born-digital voucher specimen data.
  • To introduce mobile and desktop applications that support efficient data gathering in the field.

Main Methods:

  • Development of collNotes, an Android and iOS mobile application for field data entry.
  • Development of collBook, a desktop application for refining field notes and generating specimen labels.
  • Designing applications for efficiency, avoiding redundant entries, and offline functionality.

Main Results:

  • collNotes facilitates efficient, redundant-free data collection without requiring cellular service.
  • collBook processes collNotes data into database-ready formats and produces specimen labels.
  • Both applications are open-source and utilize common file types for easy integration.

Conclusions:

  • The combination of collNotes and collBook provides a robust field-to-database solution for plant and fungal specimen data.
  • These open-source tools simplify integration into existing natural history collection workflows.
  • The developed applications support the modernization of field collection methods for born-digital data.