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Surfacing the deep data of taxonomy.

Roderic D M Page1

  • 1Institute of Biodiversity, Animal Health, and Comparative Medicine, College of Medical, Veterinary, and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK.

Zookeys
|February 16, 2016
PubMed
Summary
This summary is machine-generated.

Taxonomic databases need to adopt modern citation practices by linking literature to unique identifiers like Digital Object Identifiers (DOIs). This improves access to critical taxonomic data, preventing knowledge loss.

Keywords:
Biodiversity informaticsDOIdark taxadata cleaningdata integrationidentifiersliteraturetaxonomy

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Area of Science:

  • Biodiversity Informatics
  • Taxonomy
  • Digital Curation

Background:

  • Traditional taxonomic databases often cite literature inadequately, resembling outdated index cards.
  • This limits access to essential taxonomic data like original descriptions and nomenclatural actions.
  • Current digitization efforts offer an opportunity to improve data accessibility.

Purpose of the Study:

  • To advocate for the integration of unique identifiers, such as Digital Object Identifiers (DOIs), into taxonomic databases.
  • To highlight the benefits of reusing existing identifiers for linking biodiversity data.
  • To address the fragmentation of taxonomic literature and associated knowledge.

Main Methods:

  • The study proposes mapping taxonomic literature to globally unique identifiers.
  • It emphasizes the reuse of existing identifiers (e.g., DOIs) over creating new ones.
  • It discusses the potential for building interconnected biodiversity data.

Main Results:

  • Adopting DOIs can link taxonomic literature to digitized scientific content.
  • Reusing identifiers facilitates the creation of a more integrated biodiversity data infrastructure.
  • This approach can overcome the current "balkanization" of taxonomic information.

Conclusions:

  • Integrating unique identifiers into taxonomic databases is crucial for unlocking hidden taxonomic knowledge.
  • This practice will enhance data discoverability and support advanced biodiversity informatics.
  • Failure to adopt these standards risks perpetuating obscurity for valuable scientific literature.