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People are essential to linking biodiversity data.

Quentin Groom1, Anton Güntsch2, Pieter Huybrechts1

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Person data are valuable in biodiversity science, linking researchers to specimens, publications, and more. Utilizing this data can improve data validation, integration, and incentivize better collection curation.

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Area of Science:

  • Biodiversity Informatics
  • Data Science
  • Scientific Collaboration

Background:

  • People are stable entities within biodiversity knowledge graphs.
  • Publicly available data on individuals is abundant and uniquely identifiable.
  • Person data is frequently linked to biodiversity-related entities like specimens, sequences, and publications.

Purpose of the Study:

  • To highlight the potential of using person data in biodiversity science.
  • To demonstrate how person data can enhance data validation and integration.
  • To explore the impact of crediting individuals on natural history collection maintenance.

Main Methods:

  • Leveraging existing public information and unique identifiers for individuals.
  • Aggregating and analyzing metadata associated with biodiversity entities.
  • Examining the linkage between person data and scientific outputs (e.g., specimen collections, publications).

Main Results:

  • Person data can be integrated with various biodiversity entities (specimens, sequences, publications).
  • Digitization and aggregation of specimen data reveal scientists' collecting activities alongside their publications.
  • Metadata associated with person data aids in data validation and cross-collection integration.

Conclusions:

  • Utilizing person data offers significant opportunities for biodiversity science.
  • Improved data validation and integration across institutional databases are achievable.
  • Reliable crediting of individuals can positively influence the curation and maintenance of natural history collections.