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Enriched biodiversity data as a resource and service.

Rutger Aldo Vos¹, Jordan Valkov Biserkov², Bachir Balech³

¹Naturalis Biodiversity Center, Leiden, Netherlands.

Biodiversity Data Journal

|July 25, 2014

Summary

This summary is machine-generated.

A Biodiversity Data Enrichment Hackathon fostered collaboration between developers and taxonomists, accelerating solutions for processing and utilizing biodiversity data. This initiative highlighted the need for formalized concepts and interoperable platforms to unlock heritage biodiversity knowledge.

Keywords:

Biodiversity informatics Data enrichment Hackathon Intelligent openness Linked data Open source Semantic Web Software Taxonomy Web services

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Area of Science:

Biodiversity Informatics
Computational Biology
Data Science

Background:

Growing volumes of structured, machine-readable biodiversity data require standardized formats for enrichment.
Open-source data enrichment workflows are increasingly adopted for processing biodiversity information.

Purpose of the Study:

To address challenges and opportunities in enriching biodiversity data through collaborative software development.
To foster a community of experts in biodiversity informatics and build inter-institutional links.

Main Methods:

A Biodiversity Data Enrichment Hackathon convened 37 participants from 10 countries.
Participants with diverse expertise (developers, taxonomists, data scientists) collaborated on use cases.
Nine breakout groups focused on mobilizing heritage data, formalizing concepts, and service platform interoperability.

Main Results:

Prototype solutions were developed for various biodiversity data enrichment use cases.
Expertise spanned data processing, text mining, ontologies, GIS, NLP, and more.
The hackathon facilitated re-use and enhancement of biodiversity knowledge across diverse stakeholder groups.

Conclusions:

Collaborative efforts rapidly generated solutions, demonstrating the potential of breaking down traditional research constraints.
Mobilizing heritage biodiversity knowledge requires formalizing concepts and improving interoperability between software platforms.
Further development is needed to address identified areas of inadequacy in biodiversity data enrichment.