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Rewarding Reproducibility and Method
   Publishing the GigaScience Way
             Scott Edmunds
              GigaScience
          scott@gigasciencejournal.com
            @gigascience/SCEdmunds
The Issue:
(Mo Data, Mo Problems…)



Data-driven science era brings:

• Huge opportunities

• Huge challenges with:
    data curation, review/QA, handling, sharing

      = growing reproducibility gap
GigaSolution: deconstructing the paper
Take data publication approach further and reward:

•   Data availability

•   Metadata/curation
                                   Metadata      Analyses

•   Interoperability
                                Methods
                                              Data
•   Availability of workflows

•   Transparent analyses
GigaSolution: deconstructing the paper
Combines and integrates:
                Open-access journal

                Data Publishing Platform

                Data Analysis Platform

Utilizes big-data infrastructure and expertise from:
              Worlds largest genomics organisation with:
              17PB storage, 20.5K cores, 212TFlops,
              >1000 bioinformaticians

                www.gigadb.org
           www.gigasciencejournal.com
How are we supporting data
                       reproducibility?
                                                             Open-Data
  Open-Paper                               Data sets      DOI:10.5524/100038
                                                            78GB CC0 data

                                                           Open-Pipelines
DOI:10.1186/2047-217X-1-18
                                                          Open-Workflows
            >6500 accesses                  Analyses       DOI:10.5524/100044

 Open-Review
                       8 reviewers tested data in ftp server & named reports published

                                        Enabled code to being picked apart by bloggers in wiki
                                        http://homolog.us/wiki/index.php?title=SOAPdenovo2
  Open-Code
                       Code in sourceforge under GPLv3: http://soapdenovo2.sourceforge.net/
 >4000 downloads
SOAPdenovo2 workflows implemented in




            galaxy.cbiit.cuhk.edu.hk
SOAPdenovo2 workflows implemented in

Implemented entire workflow in our Galaxy server, inc.:

• 3 pre-processing steps
• 4 SOAPdenovo modules
• 1 post processing steps
• Evaluation and visualization tools


Also available to download by >25K Galaxy users in
               galaxy.cbiit.cuhk.edu.hk
“Regular”   “Conscientious” “Deconstructed”
 Journal     Online Journal     Journal
“Regular”   “Conscientious” “Deconstructed”
 Journal     Online Journal     Journal
“Regular”   “Conscientious” “Deconstructed”
 Journal     Online Journal     Journal
“Regular”                                     “Conscientious” “Deconstructed”
     Journal                                       Online Journal     Journal




Image Source: http://commons.wikimedia.org/wiki/File:System-Mechanic-California.jpg
Ultimate Goal: Executable papers
  Data
 Papers



Executable
(Methods)
  Papers


 Analysis
  Papers
What is needed to
make it happen?

Give us your data &
    pipelines!*
Contact us:
scott@gigasciencejournal.com
editorial@gigasciencejournal.com
database@gigasciencejournal.com


* APC’s currently generously covered by BGI


               www.gigasciencejournal.com
Thanks to:
        team:        Our collaborators:                    Funding from:
Peter Li             Ruibang Luo (BGI/HKU)
Chris Hunter         Shaoguang Liang (BGI-SZ)
Jesse Si Zhe         Tin-Lap Lee (CUHK)
Nicole Nogoy         Huayen Gao (CUHK)
Tam Sneddon          Qiong Luo (HKUST)                          CBIIT
Alexandra Basford    Senghong Wang (HKUST)
Laurie Goodman       Yan Zhou (HKUST)


                          @gigascience
Follow us:                facebook.com/GigaScience
                          blogs.openaccesscentral.com/blogs/gigablog/
                      www.gigadb.org
                  galaxy.cbiit.cuhk.edu.hk
                www.gigasciencejournal.com

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Scott Edmunds flashtalk slides from Beyond the PDF2

  • 1. Rewarding Reproducibility and Method Publishing the GigaScience Way Scott Edmunds GigaScience scott@gigasciencejournal.com @gigascience/SCEdmunds
  • 2. The Issue: (Mo Data, Mo Problems…) Data-driven science era brings: • Huge opportunities • Huge challenges with: data curation, review/QA, handling, sharing = growing reproducibility gap
  • 3. GigaSolution: deconstructing the paper Take data publication approach further and reward: • Data availability • Metadata/curation Metadata Analyses • Interoperability Methods Data • Availability of workflows • Transparent analyses
  • 4. GigaSolution: deconstructing the paper Combines and integrates: Open-access journal Data Publishing Platform Data Analysis Platform Utilizes big-data infrastructure and expertise from: Worlds largest genomics organisation with: 17PB storage, 20.5K cores, 212TFlops, >1000 bioinformaticians www.gigadb.org www.gigasciencejournal.com
  • 5.
  • 6. How are we supporting data reproducibility? Open-Data Open-Paper Data sets DOI:10.5524/100038 78GB CC0 data Open-Pipelines DOI:10.1186/2047-217X-1-18 Open-Workflows >6500 accesses Analyses DOI:10.5524/100044 Open-Review 8 reviewers tested data in ftp server & named reports published Enabled code to being picked apart by bloggers in wiki http://homolog.us/wiki/index.php?title=SOAPdenovo2 Open-Code Code in sourceforge under GPLv3: http://soapdenovo2.sourceforge.net/ >4000 downloads
  • 7. SOAPdenovo2 workflows implemented in galaxy.cbiit.cuhk.edu.hk
  • 8. SOAPdenovo2 workflows implemented in Implemented entire workflow in our Galaxy server, inc.: • 3 pre-processing steps • 4 SOAPdenovo modules • 1 post processing steps • Evaluation and visualization tools Also available to download by >25K Galaxy users in galaxy.cbiit.cuhk.edu.hk
  • 9. “Regular” “Conscientious” “Deconstructed” Journal Online Journal Journal
  • 10. “Regular” “Conscientious” “Deconstructed” Journal Online Journal Journal
  • 11. “Regular” “Conscientious” “Deconstructed” Journal Online Journal Journal
  • 12. “Regular” “Conscientious” “Deconstructed” Journal Online Journal Journal Image Source: http://commons.wikimedia.org/wiki/File:System-Mechanic-California.jpg
  • 13. Ultimate Goal: Executable papers Data Papers Executable (Methods) Papers Analysis Papers
  • 14. What is needed to make it happen? Give us your data & pipelines!* Contact us: scott@gigasciencejournal.com editorial@gigasciencejournal.com database@gigasciencejournal.com * APC’s currently generously covered by BGI www.gigasciencejournal.com
  • 15. Thanks to: team: Our collaborators: Funding from: Peter Li Ruibang Luo (BGI/HKU) Chris Hunter Shaoguang Liang (BGI-SZ) Jesse Si Zhe Tin-Lap Lee (CUHK) Nicole Nogoy Huayen Gao (CUHK) Tam Sneddon Qiong Luo (HKUST) CBIIT Alexandra Basford Senghong Wang (HKUST) Laurie Goodman Yan Zhou (HKUST) @gigascience Follow us: facebook.com/GigaScience blogs.openaccesscentral.com/blogs/gigablog/ www.gigadb.org galaxy.cbiit.cuhk.edu.hk www.gigasciencejournal.com

Editor's Notes

  1. That just leaves me to thank the GigaScience team: Laurie, Scott, Alexandra, Peter and Jesse, BGI for their support - specifically Shaoguang for IT and bioinformatics support – our collaborators on the database, website and tools: Tin-Lap, Qiong, Senhong, Yan, the Cogini web design team, Datacite for providing the DOI service and the isacommons team for their support and advocacy for best practice use of metadata reporting and sharing.Thank you for listening.