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Revolutionizing data dissemination.
                           GSC13, Shenzhen
                             Scott Edmunds




       www.gigasciencejournal.com
Now taking submissions…




      Large-Scale Data
      Journal/Database
    In conjunction with:


Editor-in-Chief: Laurie Goodman, PhD
Editor: Scott Edmunds, PhD
Assistant Editor: Alexandra Basford, PhD
Lead Curator: Tam Sneddon D.Phil
  www.gigasciencejournal.com
Associated Database




   www.gigaDB.org
Funders
Data Reuse         Data Producers
             BGI

                           Databases

                           Journals


                           Users
Data Re-use
Effort




($)



           Usability
Need to lower the hurdles…
Effort




($)



                  Usability
Need to lower the hurdles…
Effort




($)



                  Usability
Need to lower the hurdles…
Better handling of metadata…
       Cloud
     solutions?




Better tools for assessing data quality…
Need to lower the hurdles…
More efficient handling of data…

     Cloud?


Do we need to keep everything?

Compression?
Better incentives?
Effort




($)



              Usability
New incentives/credit
Credit where credit is overdue:
“One option would be to provide researchers who release data to
public repositories with a means of accreditation.”
“An ability to search the literature for all online papers that used a
particular data set would enable appropriate attribution for those
who share. “
Nature Biotechnology 27, 579 (2009)

Prepublication data sharing
(Toronto International Data Release Workshop)
“Data producers benefit from creating a citable reference, as it can
                                 ?
later be used to reflect impact of the data sets.”
Nature 461, 168-170 (2009)
Datacitation: Datacite and DOIs



Aims to:   “increase acceptance of research data as
           legitimate, citable contributions to the
           scholarly record”.
           “data generated in the course of research
           are just as valuable to the ongoing
           academic discourse as papers and
           monographs”.
For data citation to work, needs:

• Proven utility/potential user base.

• Acceptance/inclusion by journals.

• Data+Citation: inclusion in the references.

• Tracking by citation indexes.

• Usage of the metrics by the community…
Datacitation: utility/user base.




>1.3 million DOIs since Dec 2009
BGI Datasets Get DOI®s
                                                Many released pre-publication…
Invertebrate                                              PLANTS
Ant                             Vertebrates               Chinese cabbage
- Florida carpenter ant         Giant panda Macaque       Cucumber
- Jerdon’s jumping ant          - Chinese rhesus          Foxtail millet
- Leaf-cutter ant               - Crab-eating             Pigeonpea
Roundworm                       Naked mole rat            Potato
Silkworm                        Penguin                   Sorghum
                                - Emperor penguin
Human                           - Adelie penguin
Asian individual (YH)           Pigeon, domestic
- DNA Methylome                 Polar bear
- Genome Assembly               Sheep
                                                              doi:10.5524/100004
- Transcriptome                 Tibetan antelope
Ancient DNA (coming soon)
- Saqqaq Eskimo               Microbe
- Aboriginal Australian       E. Coli O104:H4 TY-2482

                              Cell-Line
                              Chinese Hamster Ovary
Our first DOI:


To maximize its utility to the research community and aid those fighting
the current epidemic, genomic data is released here into the public domain
under a CC0 license. Until the publication of research papers on the
assembly and whole-genome analysis of this isolate we would ask you to
cite this dataset as:

Li, D; Xi, F; Zhao, M; Liang, Y; Chen, W; Cao, S; Xu, R; Wang, G;
Wang, J; Zhang, Z; Li, Y; Cui, Y; Chang, C; Cui, C; Luo, Y; Qin, J; Li, S;
Li, J; Peng, Y; Pu, F; Sun, Y; Chen,Y; Zong, Y; Ma, X; Yang, X; Cen, Z;
Zhao, X; Chen, F; Yin, X; Song,Y ; Rohde, H; Li, Y; Wang, J; Wang, J and
the Escherichia coli O104:H4 TY-2482 isolate genome sequencing
consortium (2011)
Genomic data from Escherichia coli O104:H4 isolate TY-2482. BGI
Shenzhen. doi:10.5524/100001
http://dx.doi.org/10.5524/100001
             To the extent possible under law, BGI Shenzhen has waived all copyright and related or neighboring rights to
                  Genomic Data from the 2011 E. coli outbreak. This work is published from: China.
Data Citation: acceptance by journals
Data Citation: acceptance by journals
Data+Citation: inclusion in the references
• Data submitted to NCBI databases:
-   Raw data                      SRA:SRA046843
-   Assemblies of 3 strains       Genbank:AHAO00000000-AHAQ00000000
-   SNPs                          dbSNP:1056306
-   CNVs
-
-
    InDels
    SV
                              }   dbGAP:nstd63


• Submission to public databases complemented by
  its citable form in GigaDB.
In the references…
Is the DOI…
And now in Nature Biotech…
Datacitation: tracking?
Datacitation: tracking?
          DataCite metadata in harvestable form (OAI-PMH)

Plans in 2012 to link central metadata repository with WoS

            - Will finally track and credit use!




                                 To be continued…
Thanks to:
Laurie Goodman       Alexandra Basford
Tam Sneddon          Shaoguang Liang
Tin-Lap Lee (CUHK)   Qiong Luo (HKUST)
                        scott@gigasciencejournal.com
Contact us:
                        editorial@gigasciencejournal.com



                          @gigascience

 Follow us:               facebook.com/GigaScience

                          blogs.openaccesscentral.com/blogs/gigablog/


            www.gigasciencejournal.com
GSC13 special series



Seeking submissions highlighting best practice in
genomics research:
            • Discussion/comment/white papers
            • Cloud computing, software for data handling
            • Research highlighting best practice
•   Rapid review - rolling publication after launch issue
•   High-visibility – published/promoted by BMC/GigaScience
•   Article Processing Charge covered by BGI
•   Hosting of any test datasets in GigaDB
             Contact: editorial@gigasciencejournal.com
               www.gigasciencejournal.com

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Scott Edmunds: Revolutionizing Data Dissemination: GigaScience

  • 1. Revolutionizing data dissemination. GSC13, Shenzhen Scott Edmunds www.gigasciencejournal.com
  • 2. Now taking submissions… Large-Scale Data Journal/Database In conjunction with: Editor-in-Chief: Laurie Goodman, PhD Editor: Scott Edmunds, PhD Assistant Editor: Alexandra Basford, PhD Lead Curator: Tam Sneddon D.Phil www.gigasciencejournal.com
  • 3. Associated Database www.gigaDB.org
  • 4. Funders Data Reuse Data Producers BGI Databases Journals Users
  • 6. Need to lower the hurdles… Effort ($) Usability
  • 7. Need to lower the hurdles… Effort ($) Usability
  • 8. Need to lower the hurdles… Better handling of metadata… Cloud solutions? Better tools for assessing data quality…
  • 9. Need to lower the hurdles… More efficient handling of data… Cloud? Do we need to keep everything? Compression?
  • 10.
  • 11.
  • 13. New incentives/credit Credit where credit is overdue: “One option would be to provide researchers who release data to public repositories with a means of accreditation.” “An ability to search the literature for all online papers that used a particular data set would enable appropriate attribution for those who share. “ Nature Biotechnology 27, 579 (2009) Prepublication data sharing (Toronto International Data Release Workshop) “Data producers benefit from creating a citable reference, as it can ? later be used to reflect impact of the data sets.” Nature 461, 168-170 (2009)
  • 14. Datacitation: Datacite and DOIs Aims to: “increase acceptance of research data as legitimate, citable contributions to the scholarly record”. “data generated in the course of research are just as valuable to the ongoing academic discourse as papers and monographs”.
  • 15. For data citation to work, needs: • Proven utility/potential user base. • Acceptance/inclusion by journals. • Data+Citation: inclusion in the references. • Tracking by citation indexes. • Usage of the metrics by the community…
  • 16. Datacitation: utility/user base. >1.3 million DOIs since Dec 2009
  • 17. BGI Datasets Get DOI®s Many released pre-publication… Invertebrate PLANTS Ant Vertebrates Chinese cabbage - Florida carpenter ant Giant panda Macaque Cucumber - Jerdon’s jumping ant - Chinese rhesus Foxtail millet - Leaf-cutter ant - Crab-eating Pigeonpea Roundworm Naked mole rat Potato Silkworm Penguin Sorghum - Emperor penguin Human - Adelie penguin Asian individual (YH) Pigeon, domestic - DNA Methylome Polar bear - Genome Assembly Sheep doi:10.5524/100004 - Transcriptome Tibetan antelope Ancient DNA (coming soon) - Saqqaq Eskimo Microbe - Aboriginal Australian E. Coli O104:H4 TY-2482 Cell-Line Chinese Hamster Ovary
  • 18. Our first DOI: To maximize its utility to the research community and aid those fighting the current epidemic, genomic data is released here into the public domain under a CC0 license. Until the publication of research papers on the assembly and whole-genome analysis of this isolate we would ask you to cite this dataset as: Li, D; Xi, F; Zhao, M; Liang, Y; Chen, W; Cao, S; Xu, R; Wang, G; Wang, J; Zhang, Z; Li, Y; Cui, Y; Chang, C; Cui, C; Luo, Y; Qin, J; Li, S; Li, J; Peng, Y; Pu, F; Sun, Y; Chen,Y; Zong, Y; Ma, X; Yang, X; Cen, Z; Zhao, X; Chen, F; Yin, X; Song,Y ; Rohde, H; Li, Y; Wang, J; Wang, J and the Escherichia coli O104:H4 TY-2482 isolate genome sequencing consortium (2011) Genomic data from Escherichia coli O104:H4 isolate TY-2482. BGI Shenzhen. doi:10.5524/100001 http://dx.doi.org/10.5524/100001 To the extent possible under law, BGI Shenzhen has waived all copyright and related or neighboring rights to Genomic Data from the 2011 E. coli outbreak. This work is published from: China.
  • 19.
  • 20.
  • 21.
  • 24. Data+Citation: inclusion in the references
  • 25. • Data submitted to NCBI databases: - Raw data SRA:SRA046843 - Assemblies of 3 strains Genbank:AHAO00000000-AHAQ00000000 - SNPs dbSNP:1056306 - CNVs - - InDels SV } dbGAP:nstd63 • Submission to public databases complemented by its citable form in GigaDB.
  • 26.
  • 29.
  • 30. And now in Nature Biotech…
  • 32. Datacitation: tracking? DataCite metadata in harvestable form (OAI-PMH) Plans in 2012 to link central metadata repository with WoS - Will finally track and credit use! To be continued…
  • 33. Thanks to: Laurie Goodman Alexandra Basford Tam Sneddon Shaoguang Liang Tin-Lap Lee (CUHK) Qiong Luo (HKUST) scott@gigasciencejournal.com Contact us: editorial@gigasciencejournal.com @gigascience Follow us: facebook.com/GigaScience blogs.openaccesscentral.com/blogs/gigablog/ www.gigasciencejournal.com
  • 34. GSC13 special series Seeking submissions highlighting best practice in genomics research: • Discussion/comment/white papers • Cloud computing, software for data handling • Research highlighting best practice • Rapid review - rolling publication after launch issue • High-visibility – published/promoted by BMC/GigaScience • Article Processing Charge covered by BGI • Hosting of any test datasets in GigaDB Contact: editorial@gigasciencejournal.com www.gigasciencejournal.com

Editor's Notes

  1. Helps reproducibility, but some debate over whether it can help that much regarding scaling.
  2. Raw data has been submitted to the SRA, the assembly submitted to GenBank (no number), SV data todbVar (it’s the first plant data they’ve received). Complements the traditional public databases by having all these “extra” data types, it’s all in one place, and it’s citable.
  3. Raw data has been submitted to the SRA, the assembly submitted to GenBank (no number), SV data todbVar (it’s the first plant data they’ve received). Complements the traditional public databases by having all these “extra” data types, it’s all in one place, and it’s citable.
  4. Raw data has been submitted to the SRA, the assembly submitted to GenBank (no number), SV data todbVar (it’s the first plant data they’ve received). Complements the traditional public databases by having all these “extra” data types, it’s all in one place, and it’s citable.
  5. Raw data has been submitted to the SRA, the assembly submitted to GenBank (no number), SV data todbVar (it’s the first plant data they’ve received). Complements the traditional public databases by having all these “extra” data types, it’s all in one place, and it’s citable.