B-HIT - A Tool for Harvesting and Indexing Biodiversity Data

Area of Science:

• Biodiversity Informatics
• Data Management
• Computational Biology

Background:

• Globally distributed primary biodiversity data infrastructures face challenges in harvesting and indexing information due to a rapidly growing number of data publishers.
• The Global Biodiversity Information Facility (GBIF) developed the Harvesting and Indexing Toolkit (HIT) to automate data harvesting for numerous data providers.
• Existing systems require enhancements to handle complex data processing needs and improve data quality and accessibility.

Purpose of the Study:

• To extend the functionality of the GBIF Harvesting and Indexing Toolkit (HIT).
• To develop an open-source software solution, B-HIT, for improved biodiversity data management.
• To enhance data processing, quality control, and reporting capabilities for biodiversity data.

Main Methods:

• Extended the existing Harvesting and Indexing Toolkit (HIT) with new functionalities.
• Implemented improved processing for multiple taxonomic identifications.
• Developed capabilities for representing associations between specimen and observation units.
• Integrated new data quality control measures and reporting features.

Main Results:

• The developed B-HIT software offers enhanced processing of complex biodiversity data.
• New features facilitate better data quality control and provide advanced reporting options.
• The open-source B-HIT is freely available for establishing thematic networks.

Conclusions:

• The B-HIT software significantly improves the automation and efficiency of biodiversity data harvesting and indexing.
• Enhanced functionalities address critical bottlenecks in data discovery within global biodiversity infrastructures.
• B-HIT supports the creation of specialized thematic networks tailored to specific user group demands.