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Globally aggregated biodiversity data impact predictive and descriptive research.

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Related Experiment Video

Updated: Nov 19, 2025

A Concoction Pipeline for Generating Molecular Operational Taxonomic Units (MOTUs) Among Riparian and Aquatic Beetles
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Data integration enables global biodiversity synthesis.

J Mason Heberling1, Joseph T Miller2, Daniel Noesgaard2

  • 1Section of Botany, Carnegie Museum of Natural History, Pittsburgh, PA 15213; heberlingm@carnegiemnh.org.

Proceedings of the National Academy of Sciences of the United States of America
|February 2, 2021
PubMed
Summary
This summary is machine-generated.

Global Biodiversity Information Facility (GBIF) data integration has spurred scientific discovery. Analysis of over 4,000 studies shows GBIF-mediated data use has surged, enabling research at unprecedented scales.

Keywords:
Global Biodiversity Information Facility (GBIF)biodiversity informaticsbiological collectionscommunity sciencescientometrics

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Area of Science:

  • Biodiversity informatics
  • Ecoinformatics
  • Conservation science

Background:

  • Global biodiversity information accessibility has increased due to museum digitization and community science.
  • Integrating disconnected biodiversity datasets is crucial for effective data use.
  • The scientific impact of consolidated biodiversity data networks remains largely unquantified.

Purpose of the Study:

  • To quantify the scientific impacts of data integration through the Global Biodiversity Information Facility (GBIF).
  • To determine if data integration enables novel research by analyzing studies using GBIF-mediated data.

Main Methods:

  • Quantitative text analysis and bibliographic synthesis of over 4,000 studies published between 2003 and 2019.
  • Analysis of data trends, authorship, geographic extent, taxonomic groups, and dataset types.
  • Examination of topic prevalence shifts over time, including species distribution modeling, macroecology, taxonomy, species interactions, and disease research.

Main Results:

  • GBIF data availability increased 12-fold since 2007, with a corresponding rise in global data use.
  • GBIF-mediated data supported diverse research across authorship, geography, taxonomy, and dataset types.
  • Species distribution modeling was prevalent, shifting from theory to application; topic prevalence varied, with increases in species interactions and disease research.

Conclusions:

  • Biodiversity data mobilization via global aggregation has enabled basic and applied research at unprecedented scales.
  • GBIF-enabled research spans multiple scientific disciplines, indicating a broad impact.
  • Consolidated biodiversity data networks are launching biodiversity sciences into a new era of discovery.