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Organising data to represent biodiversity

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Presentation on theme: "Organising data to represent biodiversity"— Presentation transcript:

1 Organising data to represent biodiversity
Donald Hobern, GBIF Executive Secretary

2 Personal Background MA in Classics, Christ Church, Oxford
– IBM UK and New Zealand Software developer and architect – Global Biodiversity Information Facility Secretariat Programme Officer for Data Access and Database Interoperability Head of Informatics – CSIRO, Canberra Director, Atlas of Living Australia Chair, Taxonomic Databases Working Group 2012- – Global Biodiversity Information Facility Secretariat Executive Secretary

3 Research Areas/Interests
Ensure free and open access to all sources of biodiversity data in structured forms Uses of biodiversity data Taxonomy, conservation, biosecurity, land-use planning, climate change response, crop development, resource management, materials development, forensics … Collaborators Environment Ministry Science Ministry Agriculture Ministry Local Government Museums Herbaria Universities Public ... Sources of biodiversity data Collections, field observations, monitoring activities, genomics, citizen science, remote sensing, expert knowledge, historical literature, ...

4 Research Areas/Interests
Provide organised access to integrated species distribution data

5 Research Areas/Interests
Support mapping and monitoring of biodiversity patterns in space and time

6 Links to „Computer Science meets Ecology“
Obtaining and preserving data Need interoperable standards for all categories and streams of data Need low-complexity tools and processes to mobilise data Need incentives for all communities to share data openly Pattern-recognition in highly dimensional and geo-tagged data sets Need robust linkages to species traits, environmental data, etc. Need mechanisms for determining resolving power of available data for detecting patterns in space and time Model development and model-data-confrontation Need priorities for data mobilisation and for derived data products Need robust and scalable models for combining signals from available observations, taxonomic and environmental covariables, etc.


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