GLOBAL BIODIVERSITY INFORMATION FACILITY Vishwas Chavan and Eric Gilman 10 th Meeting of the GBIF Participant Node Managers Committee 3 – 5 October 2009.

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Presentation transcript:

GLOBAL BIODIVERSITY INFORMATION FACILITY Vishwas Chavan and Eric Gilman 10 th Meeting of the GBIF Participant Node Managers Committee 3 – 5 October 2009 Data Publishing Framework in addressing issues of Biodiversity Data Gaps and Content Mobilisation

Data Gaps

Assessing Data Gaps l GBIF Task Group on Content Needs Assessment l Content Needs Assessment Survey 2009 l 5 languages (English, Chinese, Russian, Spanish, French) l 750 responses from 89 countries l GBIF Data Portal: Gap Analysis l Taxonomic l Geographic l Temporal l Thematic

Inventory of GBIF portal by major taxonomic groups. Coverage is biased towards well-studied groups, especially birds, mammals and fishes. Invertebrates are generally underrepresented (insects comprising >75% of total described animals but only 13% of GBIF animalia records). Meeting Users’ Needs & Moving Towards Full Operation

Proportion of georeferenced GBIF-enabled data records observed before 1950 by kingdom (excluding viruses, for which there were no records with coordinates) (N=3,371,171 records pre = 4% of total 90M records). Pre 1950 data

Distribution of georeferenced GBIF- enabled records by major terrestrial and marine areas for all kingdoms excluding viruses, for which there were no records with coordinates. General spatial bias towards occurrences in North America & Europe/N Asia, and in the Atlantic. Terrestrial Data Marine Data

Way Forward Content Needs Assessment Content Needs Assessment Data Mobilisation Strategy Data Mobilisation Strategy Demand-driven Business Plans Demand-driven Business Plans Investment by Stakeholders Investment by Stakeholders Data Publishing Framework Data Publishing Framework l Local to Global level l By ALL l Broadening of SCOPE l Innovative approaches l Recognise ALL

Occurrence Data KML file Data Publication together with scholarly publication: ZooKeys experience

Infrastructur e and Technical Policy and Political Socio- Cultural EconomicLegal

DPF: Uptake is essential Individual Researchers Scientific and Academic Institutions Funding and Donor Agencies Traditional Publishing Industry Library, Information and Data Centers

Funding Agencies Project Data Creation, Collection Analysis, Interpretation Scholarly Publishing Data Management, & Archival Data Publishing Increased Data Usage Knowledge Dissemination Impact of Data Publishing Framework support results in Inspires another results in requires provide feedback on gaps and strategies for leads to Metadata facilitate results in Improves data quality and fitness facilitate encourages Existing cycle Complementary Expected cycle Impact Factor Data Usage Index Data Discovery Incentivisation through Data Paper Incentive for Data Discovery through Data Paper Impact Factor for Scholarly Publishing Data Usage Index for Digital Data Publishing Incentive for Data Discovery through Data Paper Impact Factor for Scholarly Publishing Data Usage Index for Digital Data Publishing leads to

? ? Skype: vishwaschavan