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Data Publishing =
          Scholarly Publishing ?

                        Vishwas Chavan
Global Biodiversity Information Facility Secretariat, Copenhagen, DENMARK
Significance of Biodiversity Data
                                       Policy
                                development and
                                 decision making
                                (at local, national,
                                   regional, and
                                  global levels)




                                  Biodiversity
                                     Data

         Monitoring of status
                                                        Conservation
            and trends of
                                                       and sustainable
             biodiversity
                                                            use of
          (sound science)
                                                         biodiversity


Chavan, June 2009
It is all about……
     Data Data     Data             Data
                           Data
           Data Data Data         Content
    Data
         Content Content Data
    Data                        Content
            Data Data     Content
    Content    Content      Data Content
                        Data Content
           Content                    Data
   Data            Content
       Content
                 Data     Data Data    Data
          Data
   Data             Data Data       Content
            Data
      Data           Content    Data Data
              Data
Chavan, June 2009
What is needed?
 • Data Digitisation, Management and
   Archiving
 • Data exchange / sharing
 • Digital Data Publishing
 • Free and Open Access
 • Data without barriers

 Chavan, June 2009
Why should I publish data?


                                        rm e?
                              e re fo
                    t is th
          Wha

Chavan, June 2009
Why should I publish data?
                     • Recognition
                                                    rm e?
                             re fo
                     s• t he
                    i Opportunities
  W h at
                     • Investment

Chavan, June 2009       Data Publishing Framework           6
Data Publishing Framework
• Bring in cultural change towards ‘free
  and open access' to biodiversity data
• Addresses social, technical, and policy
  concerns

• Answer ‘What is there for me?’ needs of
  ALL

Chavan, June 2009   Data Publishing Framework   7
Data Publication together with scholarly
        publication: ZooKeys experience



Occurrence
   Data



               KML file




Chavan, June 2009
DPF: Core Technical Components




Chavan, June 2009
Data Usage Index (DUI): Why?

 • To demonstrate to data publishers that their
   biodiversity efforts do have impact
 • 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
 Chavan, June 2009
Data Usage Index (DUI): What is it?
• As set of indicators operating on data 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)

Chavan, June 2009
Data Flow type

                                                                                                    Digitisation
                                                                                                    Bottom – Top
                                                                                                    Top – Bottom



                                                                                Publishing
  Publishing        Publishing
                                        Publishing                                Toolkit
                                                                                                         Local
    Toolkit           Toolkit    LDUI                                                                    DUIs
                                          Toolkit           LDUI
                                                                                LDUI




          Aggregator                                                    Aggregator
                                          Aggregator




                                                                                                                     UNIVERSAL DUI
                        NDUI                                                                 NDUI




                                                                                                        Natl.,
                                                                                                        Regional,
               Aggregator               Aggregator                                                      Thematic
                                                                   Aggregator                           DUIs
     TDUI
                                                     TDUI                        RDUI




                        GDUI                                        GDUI

                Mirror                                      Mirror                                       Global
                                                 GDUI                                                    DUIs

Chavan, June 2009                                           Implementation of DUI
Improving the relevance of Data Usage Index

                                   Data Life Cycle
                      Management             Access                           Use




                                                                      DUI)
                                                                e   x(
                                                           I nd
                                                       e
                                              ag
                                            Us
                                       ta
                                     Da




                      Phase I               Phase II                         Phase III

                        Data Usage Index (DUI) implementation



  Chavan, June 2009
DPF: Challenges

                                             Policy and Political
                                                   Uptake
    • Individual Researchers

    • Scientific and Academic Institutions

    • Funding and Donor Agencies

    • Traditional Publishing Industry

Chavan, June 2009          GBIF Indicators
DPF: Challenges
                                  Cultural and Social
                                     Acceptance




                                 Policy and Political
                                       Uptake




Chavan, June 2009
Impact of Data Publishing Framework
                                                                        Funding Agencies




                                                      es
                                                   ag
                                                                                      support




                                                 ur
                                              co
                                            en
                                                                                   Project                                         res
                                                                                                                                       u
                                                 Inspires another                                                                       lts
                                                                                                                                              in
             Knowledge
             Dissemination


                                                           fac
                                                                                       Data


                                                              ilit
              • Impact Factor for                                                  Scholarly Publishingires
                                                                  ate
                                                                                                     requ
                                                                                       Management,




                                                                                        e
                                                                                     at
                te




                                                                                  lit
             ita




                                                                                ci
                                                                                       & Archival
         cil




                                                     Data



                                                                              fa
       fa




                                                     Publishing




                                                                                                                     it y
  Scholarly                                                                                                                                        Data Creation,




                                                                                                                   al
                                                                                                                  qu
                                                                                                     ss ata
  Publishing                                                                                                                                         Collection
              • Data Usage Index for Digital Data Publishing

                                                                                                   ne d
                                                                                                fit es
                                                                        fa


                                                                                                                                                       gaps




                                                                                              d ov
                                                                          ci

                                                                                                                                                 n
                                                                            lit

                                                                                                                                            ck o


                                                                                            an p r
                                                                                                                                        edba or
                                                                            at




                                                                                              Im
                                                                                                                                       e
                                                                                                                                 ide f
                                                                               e


                                                                                                                                           sf
                                                                                                                            prov trategie
                                                                                     Increased                               and
                                                                                                                                  s

                                                                                     Data Usage      results in

                        re
                           su




                                                                                                                                                   to
                              l   ts
                                       in




                                                                                                                                                   s
                                                                                                                                                ad
                                                                                                                                              le
     Data Usage Index
                                                                                                                                                                      Existing cycle
                                                                                    Analysis,                                                             Complementary Expected cycle
     Impact Factor
                                                                                  Interpretation
Chavan, June 2009                                                                 GBIF Indicators                                                                            16
Data Publishing =
  Scholarly Publishing ?

Email: vchavan@gbif.org

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Ebiosphere09 Vc Final

  • 1. Data Publishing = Scholarly Publishing ? Vishwas Chavan Global Biodiversity Information Facility Secretariat, Copenhagen, DENMARK
  • 2. Significance of Biodiversity Data Policy development and decision making (at local, national, regional, and global levels) Biodiversity Data Monitoring of status Conservation and trends of and sustainable biodiversity use of (sound science) biodiversity Chavan, June 2009
  • 3. It is all about…… Data Data Data Data Data Data Data Data Content Data Content Content Data Data Content Data Data Content Content Content Data Content Data Content Content Data Data Content Content Data Data Data Data Data Data Data Data Content Data Data Content Data Data Data Chavan, June 2009
  • 4. What is needed? • Data Digitisation, Management and Archiving • Data exchange / sharing • Digital Data Publishing • Free and Open Access • Data without barriers Chavan, June 2009
  • 5. Why should I publish data? rm e? e re fo t is th Wha Chavan, June 2009
  • 6. Why should I publish data? • Recognition rm e? re fo s• t he i Opportunities W h at • Investment Chavan, June 2009 Data Publishing Framework 6
  • 7. Data Publishing Framework • Bring in cultural change towards ‘free and open access' to biodiversity data • Addresses social, technical, and policy concerns • Answer ‘What is there for me?’ needs of ALL Chavan, June 2009 Data Publishing Framework 7
  • 8. Data Publication together with scholarly publication: ZooKeys experience Occurrence Data KML file Chavan, June 2009
  • 9. DPF: Core Technical Components Chavan, June 2009
  • 10. Data Usage Index (DUI): Why? • To demonstrate to data publishers that their biodiversity efforts do have impact • 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 Chavan, June 2009
  • 11. Data Usage Index (DUI): What is it? • As set of indicators operating on data 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) Chavan, June 2009
  • 12. Data Flow type Digitisation Bottom – Top Top – Bottom Publishing Publishing Publishing Publishing Toolkit Local Toolkit Toolkit LDUI DUIs Toolkit LDUI LDUI Aggregator Aggregator Aggregator UNIVERSAL DUI NDUI NDUI Natl., Regional, Aggregator Aggregator Thematic Aggregator DUIs TDUI TDUI RDUI GDUI GDUI Mirror Mirror Global GDUI DUIs Chavan, June 2009 Implementation of DUI
  • 13. Improving the relevance of Data Usage Index Data Life Cycle Management Access Use DUI) e x( I nd e ag Us ta Da Phase I Phase II Phase III Data Usage Index (DUI) implementation Chavan, June 2009
  • 14. DPF: Challenges Policy and Political Uptake • Individual Researchers • Scientific and Academic Institutions • Funding and Donor Agencies • Traditional Publishing Industry Chavan, June 2009 GBIF Indicators
  • 15. DPF: Challenges Cultural and Social Acceptance Policy and Political Uptake Chavan, June 2009
  • 16. Impact of Data Publishing Framework Funding Agencies es ag support ur co en Project res u Inspires another lts in Knowledge Dissemination fac Data ilit • Impact Factor for Scholarly Publishingires ate requ Management, e at te lit ita ci & Archival cil Data fa fa Publishing it y Scholarly Data Creation, al qu ss ata Publishing Collection • Data Usage Index for Digital Data Publishing ne d fit es fa gaps d ov ci n lit ck o an p r edba or at Im e ide f e sf prov trategie Increased and s Data Usage results in re su to l ts in s ad le Data Usage Index Existing cycle Analysis, Complementary Expected cycle Impact Factor Interpretation Chavan, June 2009 GBIF Indicators 16
  • 17. Data Publishing = Scholarly Publishing ? Email: vchavan@gbif.org