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