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GLOBAL BIODIVERSITY INFORMATION FACILITY Dr Vishwas Chavan Senior Programme Officer for DIGIT [email_address] WWW.GBIF.ORG Towards Data Publishing Framework for primary biodiversity data Building the Biodiversity Informatics Commons DataCite Summer Meeting 7-8 June 2010, Hannover
GBIF: an intergovernmental initiative to share biodiversity information Currently 5 4  countries; 4 4  International Organisations…
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’
Data shared online via GBIF  (> 20 1   m biodiversity records mapped to a 1 X 1 degree grid) Data Publishers: 316 Data Resources: 9900
GBIF facilitates access/exchange of data ,[object Object]
GBIF, Global Information Infrastructure for Biodiversity ,[object Object],[object Object],[object Object],[object Object]
Global Biodiversity Research Infrastructure
In summary…GBIF’s Informatics Improved access to Names, Metadata  and Primary Biodiversity  Data Distributed GBIF  informatics architecture Faster and easier  publishing of data
Primary biodiversity data and information  effectively available 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.  Biological collections Scientific publications Observations Reports Gray literature Data Bases Geography
[object Object],[object Object],[object Object],[object Object],[object Object],Improving mobilisation and Cultural Changes
[object Object],[object Object],[object Object],Why should I publish data? What is there for me?
Data Publishing Framework ,[object Object],[object Object],[object Object]
Chavan and Ingwersen (2009) ,  BMC Bioinformatics, 10 (Suppl. 14): S2
DPF: Core Technical Components Chavan and Ingwersen (2009) , BMC Bioinformatics, 10 (Suppl. 14): S2
Occurrence Data KML file Data Publication together with scholarly publication: ZooKeys experience Penev, et.al. (2009). ZooKeys, 11: 1-8.
Persistent Identifiers Journal  System Submission Acceptance Revision Peer Review Publication DoI Distributed Metadata  Catalogues Metadata  Authors auto conversion to manuscript GBIF Metadata  Repository Current Biology PhytoKeys Indian J. Mar. Sci. Data Paper: Recognising  Data Discovery Registry GBRDS
Data Citation Mechanism & Service ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Usage Index (DUI): Why? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data Usage Index (DUI): What is it? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],GBIF Indicators Chavan, June 2009
Global DUIs Natl., Regional, Thematic DUIs Local  DUIs UNIVERSAL DUI LDUI LDUI Implementation of DUI Data Flow type Digitisation Bottom – Top Top – Bottom Mirror Mirror GDUI GDUI GDUI Aggregator Aggregator Aggregator RDUI TDUI TDUI Aggregator Aggregator Aggregator NDUI NDUI Publishing   Toolkit Publishing   Toolkit Publishing   Toolkit Publishing   Toolkit LDUI
Data Usage Index (DUI) implementation Data Usage Index (DUI) Phase I Phase III Phase II Access Use Management Data Life Cycle Improving the relevance of Data Usage Index
DPF: Challenges Chavan and Ingwersen (2009) , BMC Bioinformatics, 10 (Suppl. 14): S2  Policy & Political Uptake Cultural &  Social Acceptance  ,[object Object],[object Object],[object Object],[object Object]
Impact of Data Publishing Framework Funding Agencies Project Data Creation,  Collection Analysis, Interpretation Scholarly Publishing Data  Management, & Archival Data Publishing Increased  Data Usage Knowledge  Dissemination support results in  Inspires another results in  requires  provide feedback on gaps  and strategies for  leads to  Metadata  facilitate  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  leads to  leads to  leads to  results in  Source: BMC Bioinformatics 2009,  10 (Suppl 14) : S2, doi:10.1186/1471-2105-10-S14-S2
Primary Data and Scholarly Publications ,[object Object],[object Object],[object Object]
Email:  [email_address] Data Publishing together with  Scholarly Publishing!

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Data cite

  • 1. GLOBAL BIODIVERSITY INFORMATION FACILITY Dr Vishwas Chavan Senior Programme Officer for DIGIT [email_address] WWW.GBIF.ORG Towards Data Publishing Framework for primary biodiversity data Building the Biodiversity Informatics Commons DataCite Summer Meeting 7-8 June 2010, Hannover
  • 2. GBIF: an intergovernmental initiative to share biodiversity information Currently 5 4 countries; 4 4 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 (> 20 1 m biodiversity records mapped to a 1 X 1 degree grid) Data Publishers: 316 Data Resources: 9900
  • 5.
  • 6.
  • 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 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. Biological collections Scientific publications Observations Reports Gray literature Data Bases Geography
  • 10.
  • 11.
  • 12.
  • 13. 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. Occurrence Data KML file Data Publication together with scholarly publication: ZooKeys experience Penev, et.al. (2009). ZooKeys, 11: 1-8.
  • 16. Persistent Identifiers Journal System Submission Acceptance Revision Peer Review Publication DoI Distributed Metadata Catalogues Metadata Authors auto conversion to manuscript GBIF Metadata Repository Current Biology PhytoKeys Indian J. Mar. Sci. Data Paper: Recognising Data Discovery Registry GBRDS
  • 17.
  • 18.
  • 19.
  • 20. Global DUIs Natl., Regional, Thematic DUIs Local DUIs UNIVERSAL DUI LDUI LDUI Implementation of DUI Data Flow type Digitisation Bottom – Top Top – Bottom Mirror Mirror GDUI GDUI GDUI Aggregator Aggregator Aggregator RDUI TDUI TDUI Aggregator Aggregator Aggregator NDUI NDUI Publishing Toolkit Publishing Toolkit Publishing Toolkit Publishing Toolkit LDUI
  • 21. Data Usage Index (DUI) implementation Data Usage Index (DUI) Phase I Phase III Phase II Access Use Management Data Life Cycle Improving the relevance of Data Usage Index
  • 22.
  • 23. Impact of Data Publishing Framework Funding Agencies Project Data Creation, Collection Analysis, Interpretation Scholarly Publishing Data Management, & Archival Data Publishing Increased Data Usage Knowledge Dissemination support results in Inspires another results in requires provide feedback on gaps and strategies for leads to Metadata facilitate 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 leads to leads to leads to results in Source: BMC Bioinformatics 2009, 10 (Suppl 14) : S2, doi:10.1186/1471-2105-10-S14-S2
  • 24.
  • 25. Email: [email_address] Data Publishing together with Scholarly Publishing!

Editor's Notes

  1. DIGIT has moved from its NHC focus (specimen, observation, multimedia, impact assessments, domain specific task groups). Data Resources Discovery – GBRDS is planned as registry of biodiversity resources, GBRDS Stakeholders workshop, GBRDS as tool for investment in BI. GSAP-NHC has recommended that metadata creation is way forward to expedite NHC digitisation. Innovative approaches are being adopted by the network Participants as fall out of targets set by 2009-2010 WP. Data Mobilisation Strategy Discussions – assess realities, challenges, and potentials of the Participants Data Publishing Framework Task Group: Data Publishing on par with Scholarly publishing: (a) recommendation on data discovery and publishing, (b) data publishing together with scholarly publishing, (c) Data Paper, (d) Data Usage Index, (e) Data Citation Mechanism