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The geospatial data quality REST API for primary biodiversity data.

Javier Otegui1, Robert P Guralnick1

  • 1Florida Museum of Natural History, University of Florida, Gainesville, FL, USA.

Bioinformatics (Oxford, England)
|February 3, 2016
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Summary

A new REST web service assesses geospatial data quality for biodiversity records. This API helps identify errors, ensuring data completeness and consistency for large datasets.

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Area of Science:

  • Biodiversity Informatics
  • Geospatial Data Science
  • Data Quality Assessment

Background:

  • Primary biodiversity data often contains geospatial errors.
  • Ensuring data accuracy is crucial for ecological research and conservation.
  • Existing tools may lack comprehensive geospatial quality assessment capabilities.

Purpose of the Study:

  • To introduce a REST web service for evaluating the geospatial quality of primary biodiversity data.
  • To provide accessible functions for detecting data completeness and consistency issues.
  • To facilitate the identification of general errors within biodiversity records.

Main Methods:

  • Development of a RESTful web service utilizing JSON for data interchange.
  • Implementation of advanced parallelization techniques for efficient processing of large datasets.
  • Integration of basic and advanced functions for comprehensive quality assessment.

Main Results:

  • The API effectively detects completeness and consistency issues in geospatial biodiversity data.
  • It identifies general errors within individual records or sets of records.
  • The service enables fast assessments of large biodiversity datasets.

Conclusions:

  • The Geospatial Data Quality API offers a robust solution for improving biodiversity data accuracy.
  • Its web service architecture ensures broad accessibility and ease of use.
  • The API contributes to higher quality biodiversity data for research and conservation efforts.