GLOBAL BIODIVERSITY

1. DataCite Summer Meeting 7-8 June 2010, Hannover Towards Data Publishing Framework for primary biodiversity data INFORMATIONFACILITY GLOBALBIODIVERSITY Dr Vishwas Chavan Senior Programme Officer for DIGIT vchavan@gbif.org WWW.GBIF.ORG Building the Biodiversity Informatics Commons

2. GBIF: an intergovernmental initiative to share biodiversity information Currently 54 countries; 44 International Organisations…

3. GBIF’s Mandate ”To facilitate free and open access to biodiversity data worldwide, via the Internet, to underpin scientific research, conservation and sustainable development.” GBIF is govt-initiated, and govt. funded, in response to government agency needs in biodiversity information access and management; GBIF is in service to science, as a global ‘public good’

4. Data shared online via GBIF Data Publishers: 316 Data Resources: 9900 (>201m biodiversity records mapped to a 1 X 1 degree grid)

5. GBIF-mediated data on the ‘India’ GBIF facilitates access/exchange of data

6. GBIF, Global Information Infrastructure for Biodiversity • Global Infrastructure • Tools, Standards, and Processes • Strategies and Policy Framework • Outreach and Capacity Building

7. Global Biodiversity Research Infrastructure

8. In summary…GBIF’s Informatics Improved access to Names, Metadata and Primary Biodiversity Data Distributed GBIF informatics architecture Faster and easier publishing of data

9. Primary biodiversity data and information effectively available Reports Geography Biological collections Data and information that have been produced but are not easy to find, access, and use (i.e not effectively available!) - a gigantic task of mobilising billions of data is still needed, as well as integrating new data. Observations Scientific publications Data Bases Gray literature

10. Improving mobilisation and Cultural Changes • Broadening Data Types • Data Resources Discovery • Innovative Approaches to Data Mobilisation • Data Mobilisation Strategy Discussions • Data Publishing Framework

11. Why should I publish data? • Recognition • Opportunities • Investment What is there for me?

12. Data Publishing Framework • Cultural change towards ‘free and open access’ to biodiversity data • Addresses social, technical, and policy concerns • Answer ‘What is there for me?’ for ALL

13. Components of Data Publishing FRAMEWORK Chavan and Ingwersen (2009) , BMC Bioinformatics, 10 (Suppl. 14): S2

14. DPF: Core Technical Components Chavan and Ingwersen (2009) , BMC Bioinformatics, 10 (Suppl. 14): S2

15. Data Publication together with scholarly publication: ZooKeys experience Occurrence Data KML file Penev, et.al. (2009). ZooKeys, 11: 1-8.

16. Current Biology PhytoKeys Indian J. Mar. Sci. Data Paper: Recognising Data Discovery DoI Publication Journal System Acceptance GBRDS Revision Peer Review GBIF Metadata Repository Submission Registry auto conversion to manuscript Distributed Metadata Catalogues Persistent Identifiers Metadata Authors

17. Data Citation Mechanism & Service • Deep data citation mechanism • Recognise ALL with their roles • Multilayer citation – producer, publisher, aggregator • Citations within citations • Data Citation Service • Resolve citation any time • Discover the underlined data • Under development

18. To demonstrate to data publishers that their biodiversity efforts do have impact Data Usage Index (DUI): Why? • To encourage … • Increase of high quality data discovery and mobilisation • Further usage of biodiversity data and information in scientific work • Formal citation behavior in research papers of dataset • Standardisation of dataset information

19. GBIF Indicators As set of indicators operating ondata concerned with: Unique Visits Loyal Visits (repeated visits by same IP address) Download of datasets & dataset records Volume and (rank) distributions of dataset records per visit, visitor, dataset provider (institution, country, region, world, theme) & period Indicators to be normalised (by records or MB), relative (to world, theme) and weighted (according to provider profile of species/taxa/themes) Data Usage Index (DUI): What is it?

20. Phase III Local DUIs Publishing Toolkit Publishing Toolkit LDUI LDUI LDUI Aggregator Aggregator NDUI NDUI UNIVERSAL DUI Aggregator Phase II Natl., Regional, Thematic DUIs Aggregator TDUI TDUI RDUI Data Flow type Digitisation Bottom – Top Top – Bottom Aggregator Aggregator Mirror Mirror Publishing Toolkit GDUI GDUI Phase I Publishing Toolkit Global DUIs GDUI Implementation of DUI

21. Improving the relevance of Data Usage Index Data Life Cycle Management Access Use Data set citation LDUL Indicator Robustness Time Series Logs Data Usage Index (DUI) Local DUI TDUL, NDUL Global DUI GDUL Phase I Phase II Phase III Data Usage Index (DUI) implementation

22. DPF: Challenges • Individual Researcher • Scientific and Academic Institutions • Funding and Donor Agencies • Traditional Publishing Industry Cultural & Social Acceptance Policy & Political Uptake Chavan and Ingwersen (2009) , BMC Bioinformatics, 10 (Suppl. 14): S2

23. Impact of Data Publishing Framework Funding Agencies encourages support Project Inspires another results in Knowledge Dissemination Data Management, & Archival leads to results in requires facilitate facilitate Incentivisation through Data Paper Metadata Scholarly Publishing Data Creation, Collection Data Discovery Improves data quality and fitness leads to provide feedback on gaps and strategies for Data Publishing leads to Increased Data Usage facilitate results in leads to results in Data Usage Index Existing cycle Analysis, Interpretation Complementary Expected cycle Impact Factor Source: BMC Bioinformatics 2009, 10(Suppl 14):S2, doi:10.1186/1471-2105-10-S14-S2

24. Primary Data and Scholarly Publications • Seamless, embedded interconnections between data & paper • Unconventional use of data • Improving reliability & credibility

25. Data Publishing together with Scholarly Publishing! Email: vchavan@gbif.org