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Updated: Jun 7, 2026

Microbial Communities in Nature and Laboratory - Interview
Published on: May 28, 2007
Names are key to the big new biology
D J Patterson1, J Cooper, P M Kirk
1Biodiversity Informatics, Marine Biological Laboratory, Woods Hole, MA 02543, USA. dpatterson@mbl.edu
A new Global Names Architecture will connect biological information online, enabling big data approaches in organismal biology. This infrastructure supports ecological and evolutionary research by creating a virtual data commons.
Area of Science:
- Integrative Biology
- Bioinformatics
- Computational Ecology
Background:
- Addressing broad biological questions, particularly in organismal taxonomy, evolution, and ecology, requires robust data infrastructure.
- Current biological information is distributed across the internet, hindering comprehensive analysis and discovery.
- The association of organism names with biological data presents an opportunity for a unified approach.
Purpose of the Study:
- To introduce the emerging Global Names Architecture (GNA) as a names-based infrastructure for biological information.
- To outline how GNA will index and interconnect distributed internet data using organism names.
- To highlight the potential of GNA to advance biology as a 'big science' and revitalize comparative biology.
Main Methods:
- Reviewing the initial components of the Global Names Architecture.
- Leveraging the universal association of organism names for data indexing and interconnection.
- Developing a freely available, participatory, and semantic infrastructure.
Main Results:
- The development of foundational components for the Global Names Architecture.
- Establishment of a framework for a virtual data commons for biological information.
- Demonstration of informatics devices exploiting the 'big new biology' enabled by GNA.
Conclusions:
- The Global Names Architecture is poised to significantly benefit organismal biology research.
- This infrastructure will facilitate the discovery of previously inaccessible biological trends and truths.
- GNA promotes a collaborative, semantic, and expansive approach to biological data management and analysis.
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