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From text to structured data: Converting a word-processed floristic checklist into Darwin Core Archive format.

David Remsen1, Sandra Knapp, Teodor Georgiev

  • 1Global Biodiversity Information Facility, Copenhagen, Denmark.

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|February 29, 2012
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Summary

This study demonstrates converting a traditional floristic checklist into Darwin Core Archive format. This structured data publication enhances biodiversity data accessibility and reusability through the Global Biodiversity Information Facility.

Keywords:
Darwin Core ArchiveData miningtaxonomic checklists

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Area of Science:

  • Biodiversity Informatics
  • Data Science
  • Botany

Background:

  • Traditional floristic checklists are often in non-standard formats, limiting data sharing and reuse.
  • Structured data is crucial for modern biodiversity informatics and global data aggregation.

Purpose of the Study:

  • To pilot a method for converting a conventional floristic checklist into the Darwin Core Archive format.
  • To publish the structured data through the Global Biodiversity Information Facility (GBIF) for wider accessibility.

Main Methods:

  • Utilized regular expressions for converting a word-processed checklist into Darwin Core Archive format.
  • Published the Darwin Core Archive data files and human-readable checklist via the GBIF Integrated Publishing Toolkit (IPT).
  • Leveraged publication text for metadata description within the IPT.

Main Results:

  • Successfully converted a floristic checklist into Darwin Core Archive format.
  • Published the structured biodiversity data through GBIF, making it discoverable and reusable.
  • Demonstrated a practical workflow for digitizing and publishing traditional biodiversity data.

Conclusions:

  • The conversion and publication process proved effective for enhancing data accessibility.
  • Structured data publication through platforms like GBIF facilitates biodiversity research and conservation efforts.
  • This pilot project provides a replicable model for other institutions to publish their biodiversity data.