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FAIR or unfair? Principled publishing
for more Open & Democratic Science
Scott Edmunds
EMBL, 9th October 2018
Scientists: need to convince public + politicians
Buckheit & Donoho: Scholarly articles are
merely advertisement of scholarship. The
actual scholarly artifacts, i.e. the data and
computational methods, which support
the scholarship, remain largely
inaccessible.
Scientists: what we are doing instead
Not curing diseases
http://www.nature.com/news/data-sharing-make-outbreak-research-open-access-1.16966
Scientists: what we are doing instead
Scientists: what we are doing instead
Focusing on unscientific unreproducibile metrics
Incentivising short term-citations
JIFBAIT Network
more
GWAS
GWAS
JIFBAIT NEWS
Arsenic Life forms, will
they take over the planet?
By Melba Ketchum, PhD
Which Overhyped, Unreproducible
Experiment Are You?
Want rapid citations for 2 years only? Carry out this quiz.
You got: STAP Cells
Of course dipping cells in
coffee will make them
pluripotent. Even if the
research gets discredited, it’ll
still get 100’s of citations in
two years.
Publish or impoverish: An investigation of the monetary
reward system of science in China (1999-2016)
https://arxiv.org/abs/1707.01162
http://www.szhrss.gov.cn/xxgk/zcfgjjd/gcjzyrcgl/201708/t20170831_8317284.htm
Scientists: what we are doing instead
Shenzhen "Peacock" "National leading talent scheme”:
Science/Nature = ¥3M RMB, JCI Q1 = ¥1.6M RMB (1st & corresponding authors only)
Attempts to “game the peer-review system on an industrial
scale”
http://www.scientificamerican.com/article/for-sale-your-name-here-in-a-prestigious-science-journal/
Companies offering authorship of papers made to order by “paper
mills”.
Guaranteed publication in JIF journal, often using fake referees, ID
theft, etc. JIF 1-2 papers = ~$10,000 USD
Scientists: what we are doing instead
Do you want to be author of an IF 4.499 paper (J Cellular & Mol Med)?
Title: “…up-regulation of MiR*** can promote the development of liver
cancer by reducing the expression of ****”
Scientists: what we are doing instead
http://www.518sci.com/index.php?catid=17&ydzt=0-9999&zdprice=0-9999
http://goo.gl/zUDEC9
How to fight back, part 1. Sign DORA.
http://www.ascb.org/dora/
How to fight back, part 2.
Educate/lobby on authorship.
New (English &Chinese) editorial: https://doi.org/10.1093/gigascience/giy122
How to fight back, part 3.
A more FAIR approach: Open Science?
What is open science? 5 flavours:
Benedikt Fecher and Sascha Friesike: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2272036
Democratic:
Biggest Challenge: Closed Access
WWW.RIGHTTORESEARCH.ORG
The Solution: Open Access
“By “open access” to [peer-reviewed research literature], we mean its
free availability on the public internet, permitting any users to read,
download, copy, distribute, print, search, or link to the full texts of
these articles, crawl them for indexing, pass them as data to software,
or use them for any other lawful purpose, without financial, legal, or
technical barriers other than those inseparable from gaining access to
the internet itself. The only constraint on reproduction and
distribution, and the only role for copyright in this domain, should be
to give authors control over the integrity of their work and the right to
be properly acknowledged and cited.”
Budapest Open Access Initiative:
• Maximizes reuse and access
• Gives authors control over the integrity of their work and the right
to be properly acknowledged and cited.
• “Real” OA asks for no restrictions/limitations = CC-BY
The Solution: Open Data
• Review
• Data
• Software
• Models
• Pipelines
• Re-use…
= 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)
New incentives/credit
Pragmatic:
Infrastructure:
http://dx.doi.org/10.6084/m9.figshare.1286826
http://101innovations.silk.co/page/workflows
Lots of potential workflows…
Rewarding the
Rewarding open data & code
http://gigasciencejournal.com/
Ethos/Policies: ‘Impact' is subjective. Data is quantitive.
Since July 2012. Publishes “Data Notes” for CC0 data, “Tech Notes” for OSI software.
Integrated GigaDB repository. DataCite DOIs. No size limits, APC covers storage.
http://gigadb.org/
Rewarding open data & code
Rewarding & enabling interaction
Building tools (inc Jbrowse for genomes, sketchfab for 3D images) on top of datasets…
CodeOcean widgets for code, “compute capsule” (data+code+environment) run on AWS
[Insert Widget Here]
1. http://arxiv.org/abs/1305.6760
2. http://www.nature.com/news/preprints-come-to-life-1.14140
Pre-prints becoming the norm
Don’t be 2nd: claim priority
http://gigasciencejournal.com/blog/shortcut-from-biorxiv-to-gigascience /
Now with bioRxiv integration
GigaScience embraces
Publons + PrePrint.Space
= credit for reviewers efforts
http://publons.com/
Credit transparency/open peer review
http://preprint.space/byjournal/gigascience
gigagalaxy.net
Workflows
Reward Sharing of Workflows
Workflows/Virtual Machines/containers
• Downloadable as virtual harddisk/available as Amazon Machine Image
• More and more container (docker, singularity…) submissions
• CodeOcean widgets for code, “compute capsule” run on AWS
First journal with deep integration with
Launched 2nd June 2016
Reward better handling of “wet” protocols…
• Create, share, modify forkeable protocols in repo.
• Download & run on smartphone app.
• Widgets embedded in GigaDB
• Get discoverability, credit, DOIs for sharing methods.
• Create your own, or let us set up & you claim.
https://www.protocols.io/groups/gigascience-journal
What is in it for you?
Open Science saves lives
Transparency to the rescue
Germany 2011, >50 dead
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
Our first DOI:
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.
Open Data to the rescue…
Downstream consequences:
“Last summer, biologist Andrew Kasarskis was eager to help decipher the genetic origin of the Escherichia coli
strain that infected roughly 4,000 people in Germany between May and July. But he knew it that might take days
for the lawyers at his company — Pacific Biosciences — to parse the agreements governing how his team could
use data collected on the strain. Luckily, one team had released its data under a Creative Commons licence that
allowed free use of the data, allowing Kasarskis and his colleagues to join the international research effort and
publish their work without wasting time on legal wrangling.”
1. Many Citations 2. Therapeutics (primers, antimicrobials) 3. Platform Comparisons
4. Example for faster & more open science
1.3 The power of intelligently open data
The benefits of intelligently open data were powerfully
illustrated by events following an outbreak of a severe gastro-
intestinal infection in Hamburg in Germany in May 2011. This
spread through several European countries and the US,
affecting about 4000 people and resulting in over 50 deaths. All
tested positive for an unusual and little-known Shiga-toxin–
producing E. coli bacterium. The strain was initially analysed by
scientists at BGI-Shenzhen in China, working together with
those in Hamburg, and three days later a draft genome was
released under an open data licence. This generated interest
from bioinformaticians on four continents. 24 hours after the
release of the genome it had been assembled. Within a week
two dozen reports had been filed on an open-source site
dedicated to the analysis of the strain. These analyses
provided crucial information about the strain’s virulence and
resistance genes – how it spreads and which antibiotics are
effective against it. They produced results in time to help
contain the outbreak. By July 2011, scientists published papers
based on this work. By opening up their early sequencing
results to international collaboration, researchers in Hamburg
produced results that were quickly tested by a wide range of
experts, used to produce new knowledge and ultimately to
control a public health emergency.
After open: FAIR
A mnemonic to remember: FAIR
http://www.nature.com/articles/sdata201618
http://www.datafairport.org/
Require stewardship on top of access
A mnemonic to remember: FAIR
http://www.nature.com/articles/sdata201618
http://www.datafairport.org/
Beyond a mnemonic: FAIR ecosystems
FAIR metrics
https://www.go-fair.org/go-fair-initiative/
Beyond a mnemonic: FAIR Evaluation
Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed
Framework https://www.biorxiv.org/content/early/2018/09/16/418376
DTL/ELIXIR-NL
“Bring Your Own Data Party”
GigaScience/BGI HK
Metabolomics ISA-TAB athon v
More FAIR mnemonics: “BYODs”
Public:
Open Science, the final frontier:
democratising research for citizens
The Hong Kong example…
Inspiration: The “Peoples Parrot”
Puerto Rican Parrot Genome Project (Amazona vittata )
Rarest parrot, national bird of Puerto Rico
Community funded from artworks, fashion shows, beer brands, crowdfunding…
Genome annotated by students in community college as part of bioinformatics education
Paper and Data published in GigaScience and GigaDB
Taras K Oleksyk, et al., (2012) A Locally Funded Puerto Rican Parrot (Amazona vittata) Genome Sequencing Project Increases Avian Data and Advances Young
Researcher Education. GigaScience 2012, 1:14
Steven J. O’Brien. (2012): Genome empowerment for the Puerto Rican parrot – Amazona vittata. GigaScience 2012, 1:13
Oleksyk et al., (2012): Genomic data of the Puerto Rican Parrot (Amazona vittata) from a locally funded project. GigaScience.
http://dx.doi.org/10.5524/100039
HK Botanical &
Afforestation Dept.
"The mysterious origin
of the tree & its
magnificent flowers at
once arrest the interest.
The Bauhinia Mystery?
1903
So far, all efforts to identify them with
any foreign species have failed"
Courtesy of: Archives des Missions Etrangère de Paris
http://igg.me/at/bauhinia
TEDx EduHK https://youtu.be/RcBzJI8O4j0
As featured on…
Education: (OER) teaching materials
https://www.oercommons.org/courseware/lesson/9147/overview
Education: reproducible research
Education: sharing FAIR data
http://dx.doi.org/10.5524/100245
http://dx.doi.org/10.5524/100345
Education: teaching people with the data
Student power (MSc @ CUHK)
Education: teaching people with the data
Transcriptomes assembled & annotated by MSc students
Looked at GO/KEGG
& TCM compounds
Looked at parental links
(diversity, maternal/paternal)
B. Purpurea = motherB. Variegata = father
How far can we open science?
Teaching genomics to 7 year olds
Open Science = Science
• Science needed more than ever to tackle grave
environmental & public health challenges
• Need to escape from our ivory towers to regain
trust
• Take science back to standing on the shoulders of
giants, rather than unFAIR practices
• Choose evidence not branding
• Once we have Open Data, we then need FAIR data
stewardship
• New EU funder rules on open science/OA coming –
preempt FAIR assessment
www.gigasciencejournal.com
Give us your data, papers
& pipelines
Help GigaPanda
make it happen!
scott@gigasciencejournal.com
editorial@gigasciencejournal.com
database@gigasciencejournal.com
Contact us:
Thanks to:
Laurie Goodman, Editor in Chief
Nicole Nogoy, Editor
Hans Zauner, Assistant Editor
Hongling Zhao, Assistant Editor
Peter Li, Lead Data Manager
Chris Hunter, Lead BioCurator
Chris Armit, Data Scientist
Mary Ann Tulli, Data Ediitor
Xiao (Jesse) Si Zhe, Database Developer
Chen Qi, Shenzhen Office.
@GigaScience
facebook.com/GigaScience
http://gigasciencejournal.com/blog/
Follow us:
www.gigasciencejournal.com
www.gigadb.org
+
Weibo
& WeChat
Questions?

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EMBL OA Week: FAIR or unfair? Principled publishing for more Open & Democratic Science

  • 1. FAIR or unfair? Principled publishing for more Open & Democratic Science Scott Edmunds EMBL, 9th October 2018
  • 2. Scientists: need to convince public + politicians
  • 3. Buckheit & Donoho: Scholarly articles are merely advertisement of scholarship. The actual scholarly artifacts, i.e. the data and computational methods, which support the scholarship, remain largely inaccessible. Scientists: what we are doing instead
  • 5. Scientists: what we are doing instead Focusing on unscientific unreproducibile metrics Incentivising short term-citations
  • 6. JIFBAIT Network more GWAS GWAS JIFBAIT NEWS Arsenic Life forms, will they take over the planet? By Melba Ketchum, PhD Which Overhyped, Unreproducible Experiment Are You? Want rapid citations for 2 years only? Carry out this quiz. You got: STAP Cells Of course dipping cells in coffee will make them pluripotent. Even if the research gets discredited, it’ll still get 100’s of citations in two years.
  • 7. Publish or impoverish: An investigation of the monetary reward system of science in China (1999-2016) https://arxiv.org/abs/1707.01162 http://www.szhrss.gov.cn/xxgk/zcfgjjd/gcjzyrcgl/201708/t20170831_8317284.htm Scientists: what we are doing instead Shenzhen "Peacock" "National leading talent scheme”: Science/Nature = ¥3M RMB, JCI Q1 = ¥1.6M RMB (1st & corresponding authors only)
  • 8. Attempts to “game the peer-review system on an industrial scale” http://www.scientificamerican.com/article/for-sale-your-name-here-in-a-prestigious-science-journal/ Companies offering authorship of papers made to order by “paper mills”. Guaranteed publication in JIF journal, often using fake referees, ID theft, etc. JIF 1-2 papers = ~$10,000 USD Scientists: what we are doing instead
  • 9. Do you want to be author of an IF 4.499 paper (J Cellular & Mol Med)? Title: “…up-regulation of MiR*** can promote the development of liver cancer by reducing the expression of ****” Scientists: what we are doing instead http://www.518sci.com/index.php?catid=17&ydzt=0-9999&zdprice=0-9999
  • 11. How to fight back, part 1. Sign DORA. http://www.ascb.org/dora/
  • 12. How to fight back, part 2. Educate/lobby on authorship. New (English &Chinese) editorial: https://doi.org/10.1093/gigascience/giy122
  • 13. How to fight back, part 3. A more FAIR approach: Open Science?
  • 14. What is open science? 5 flavours: Benedikt Fecher and Sascha Friesike: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2272036
  • 16. Biggest Challenge: Closed Access WWW.RIGHTTORESEARCH.ORG
  • 17. The Solution: Open Access “By “open access” to [peer-reviewed research literature], we mean its free availability on the public internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of these articles, crawl them for indexing, pass them as data to software, or use them for any other lawful purpose, without financial, legal, or technical barriers other than those inseparable from gaining access to the internet itself. The only constraint on reproduction and distribution, and the only role for copyright in this domain, should be to give authors control over the integrity of their work and the right to be properly acknowledged and cited.” Budapest Open Access Initiative: • Maximizes reuse and access • Gives authors control over the integrity of their work and the right to be properly acknowledged and cited. • “Real” OA asks for no restrictions/limitations = CC-BY
  • 19. • Review • Data • Software • Models • Pipelines • Re-use… = 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) New incentives/credit
  • 24. Rewarding open data & code http://gigasciencejournal.com/ Ethos/Policies: ‘Impact' is subjective. Data is quantitive. Since July 2012. Publishes “Data Notes” for CC0 data, “Tech Notes” for OSI software.
  • 25. Integrated GigaDB repository. DataCite DOIs. No size limits, APC covers storage. http://gigadb.org/ Rewarding open data & code
  • 26. Rewarding & enabling interaction Building tools (inc Jbrowse for genomes, sketchfab for 3D images) on top of datasets… CodeOcean widgets for code, “compute capsule” (data+code+environment) run on AWS [Insert Widget Here]
  • 29. Publons + PrePrint.Space = credit for reviewers efforts http://publons.com/ Credit transparency/open peer review http://preprint.space/byjournal/gigascience
  • 31. Workflows/Virtual Machines/containers • Downloadable as virtual harddisk/available as Amazon Machine Image • More and more container (docker, singularity…) submissions • CodeOcean widgets for code, “compute capsule” run on AWS
  • 32. First journal with deep integration with Launched 2nd June 2016 Reward better handling of “wet” protocols… • Create, share, modify forkeable protocols in repo. • Download & run on smartphone app. • Widgets embedded in GigaDB • Get discoverability, credit, DOIs for sharing methods. • Create your own, or let us set up & you claim. https://www.protocols.io/groups/gigascience-journal
  • 33. What is in it for you? Open Science saves lives Transparency to the rescue
  • 35. 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 Our first DOI: 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. Open Data to the rescue…
  • 36.
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  • 39. Downstream consequences: “Last summer, biologist Andrew Kasarskis was eager to help decipher the genetic origin of the Escherichia coli strain that infected roughly 4,000 people in Germany between May and July. But he knew it that might take days for the lawyers at his company — Pacific Biosciences — to parse the agreements governing how his team could use data collected on the strain. Luckily, one team had released its data under a Creative Commons licence that allowed free use of the data, allowing Kasarskis and his colleagues to join the international research effort and publish their work without wasting time on legal wrangling.” 1. Many Citations 2. Therapeutics (primers, antimicrobials) 3. Platform Comparisons 4. Example for faster & more open science
  • 40. 1.3 The power of intelligently open data The benefits of intelligently open data were powerfully illustrated by events following an outbreak of a severe gastro- intestinal infection in Hamburg in Germany in May 2011. This spread through several European countries and the US, affecting about 4000 people and resulting in over 50 deaths. All tested positive for an unusual and little-known Shiga-toxin– producing E. coli bacterium. The strain was initially analysed by scientists at BGI-Shenzhen in China, working together with those in Hamburg, and three days later a draft genome was released under an open data licence. This generated interest from bioinformaticians on four continents. 24 hours after the release of the genome it had been assembled. Within a week two dozen reports had been filed on an open-source site dedicated to the analysis of the strain. These analyses provided crucial information about the strain’s virulence and resistance genes – how it spreads and which antibiotics are effective against it. They produced results in time to help contain the outbreak. By July 2011, scientists published papers based on this work. By opening up their early sequencing results to international collaboration, researchers in Hamburg produced results that were quickly tested by a wide range of experts, used to produce new knowledge and ultimately to control a public health emergency.
  • 42. A mnemonic to remember: FAIR http://www.nature.com/articles/sdata201618 http://www.datafairport.org/ Require stewardship on top of access
  • 43. A mnemonic to remember: FAIR http://www.nature.com/articles/sdata201618 http://www.datafairport.org/
  • 44. Beyond a mnemonic: FAIR ecosystems FAIR metrics https://www.go-fair.org/go-fair-initiative/
  • 45. Beyond a mnemonic: FAIR Evaluation Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework https://www.biorxiv.org/content/early/2018/09/16/418376
  • 46. DTL/ELIXIR-NL “Bring Your Own Data Party” GigaScience/BGI HK Metabolomics ISA-TAB athon v More FAIR mnemonics: “BYODs”
  • 48. Open Science, the final frontier: democratising research for citizens The Hong Kong example…
  • 49. Inspiration: The “Peoples Parrot” Puerto Rican Parrot Genome Project (Amazona vittata ) Rarest parrot, national bird of Puerto Rico Community funded from artworks, fashion shows, beer brands, crowdfunding… Genome annotated by students in community college as part of bioinformatics education Paper and Data published in GigaScience and GigaDB Taras K Oleksyk, et al., (2012) A Locally Funded Puerto Rican Parrot (Amazona vittata) Genome Sequencing Project Increases Avian Data and Advances Young Researcher Education. GigaScience 2012, 1:14 Steven J. O’Brien. (2012): Genome empowerment for the Puerto Rican parrot – Amazona vittata. GigaScience 2012, 1:13 Oleksyk et al., (2012): Genomic data of the Puerto Rican Parrot (Amazona vittata) from a locally funded project. GigaScience. http://dx.doi.org/10.5524/100039
  • 50. HK Botanical & Afforestation Dept. "The mysterious origin of the tree & its magnificent flowers at once arrest the interest. The Bauhinia Mystery? 1903 So far, all efforts to identify them with any foreign species have failed"
  • 51. Courtesy of: Archives des Missions Etrangère de Paris
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  • 56. Education: (OER) teaching materials https://www.oercommons.org/courseware/lesson/9147/overview
  • 58. Education: sharing FAIR data http://dx.doi.org/10.5524/100245 http://dx.doi.org/10.5524/100345
  • 59. Education: teaching people with the data
  • 60. Student power (MSc @ CUHK) Education: teaching people with the data Transcriptomes assembled & annotated by MSc students Looked at GO/KEGG & TCM compounds Looked at parental links (diversity, maternal/paternal) B. Purpurea = motherB. Variegata = father
  • 61. How far can we open science? Teaching genomics to 7 year olds
  • 62. Open Science = Science • Science needed more than ever to tackle grave environmental & public health challenges • Need to escape from our ivory towers to regain trust • Take science back to standing on the shoulders of giants, rather than unFAIR practices • Choose evidence not branding • Once we have Open Data, we then need FAIR data stewardship • New EU funder rules on open science/OA coming – preempt FAIR assessment
  • 63. www.gigasciencejournal.com Give us your data, papers & pipelines Help GigaPanda make it happen! scott@gigasciencejournal.com editorial@gigasciencejournal.com database@gigasciencejournal.com Contact us:
  • 64. Thanks to: Laurie Goodman, Editor in Chief Nicole Nogoy, Editor Hans Zauner, Assistant Editor Hongling Zhao, Assistant Editor Peter Li, Lead Data Manager Chris Hunter, Lead BioCurator Chris Armit, Data Scientist Mary Ann Tulli, Data Ediitor Xiao (Jesse) Si Zhe, Database Developer Chen Qi, Shenzhen Office. @GigaScience facebook.com/GigaScience http://gigasciencejournal.com/blog/ Follow us: www.gigasciencejournal.com www.gigadb.org + Weibo & WeChat