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

Premise The digitization of natural history collections includes transcribing specimen label data into standardized formats. Born‐digital specimen data initially gathered in digital formats do not need to be transcribed, enabling their efficient integration into digitized collections. Modernizing field collection methods for born‐digital workflows requires the development of new tools and processes. Methods and Results collNotes, a mobile application, was developed for Android and iOS to supplement traditional field journals. Designed for efficiency in the field, collNotes avoids redundant data entries and does not require cellular service. collBook, a companion desktop application, refines field notes into database‐ready formats and produces specimen labels. Conclusions collNotes and collBook can be used in combination as a field‐to‐database solution for gathering born‐digital voucher specimen data for plants and fungi. Both programs are open source and use common file types simplifying either program's integration into existing workflows.

• Publication year

  2019

• Venue

  Applications in Plant Sciences

• Publication date

  2019-08-01

• Fields of study

  Biology, Medicine, Computer Science, Environmental Science

• Identifiers
  DOI 10.1002/aps3.11284PMID 31467807PMCID 6711348
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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