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What MODs can learn from Journals
– a GigaDB curator’s perspective
Mary Ann Tuli
9th April 2018
What is GigaDB
• GigaDB primarily serves as a repository to
host data and tools associated with articles in
GigaScience.
• GigaScience is an open access, open data,
open peer-review journal focusing on ‘big
data’ research from the life and biomedical
sciences.
GigaScience
www.gigasciencejournal.com
• Promotes reproducibility
• ALL research objects published (data, software
tools and workflows
• FAIR Principles
– Findable
– Accessible
– Interoperable
– Reusable
The Growth of GigaDB
0
100
200
300
400
500
2011 2012 2013 2014 2015 2016 2017 2018
Total Datasets
20 different data
types, of which 60%
represent genomic
data, with software,
transcriptomic &
imaging datasets also
having high numbers.
New Developments
• 2 new curators (200% increase in staff!)
– Chris Armit – Data Scientist
• orcid 0000-0002-9952-8141
– Mary Ann Tuli – Data Editor
• orcid 0000-0002-4667-9528
– Join Chris Hunter – Lead Biocurator
• orcid 0000-0002-1335-0881
New Developments
• Imaging (Chris Armit)
– 3D model viewer
– CT and MRI images to be interactively explored
(see http://gigasciencejournal.com/blog/)
Imaging
MOD Pathway – carrot model
Pre-publication
Curator
Author
MOD driven
Author driven
MOD driven (pre-pub)
Author driven (minimal curation)
Journal Pathway – stick model
GigaDB curator GigaScience Editor
Author
What I’ve learnt at GigaDB
• Authors are more invested
– Respond to queries (quickly!)
– Keen to work together
• Time pressures
“We need to make authors WANT to
make their data available”
Quote from a journal editor – ISB conference,
Cambridge 2013
What can the Biocurator Community
learn
• Better outreach
• Better personal communication
• Streamline submission pipelines
• What’s in it for them?
– Priority processing and availability in database
– Recognition
Giga Team
GigaScience won the 2018 Innovation in Journal
Publishing: Multidisciplinary Prose Award.
Editor-in-Chief Executive Editor Editors
Laurie Goodman Scott Edmunds Nicole Nogoy
Hans Zauner
Lead Data Manager Database Manager
Peter Li Si Zhe Xiao
Lead Biocurator Data Editor Data Scientist
Chris Hunter Mary Ann Tuli Chris Armit

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Mary Ann Tuli: What MODs can learn from Journals – a GigaDB curator’s perspective

  • 1. What MODs can learn from Journals – a GigaDB curator’s perspective Mary Ann Tuli 9th April 2018
  • 2. What is GigaDB • GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience. • GigaScience is an open access, open data, open peer-review journal focusing on ‘big data’ research from the life and biomedical sciences.
  • 3.
  • 4.
  • 5. GigaScience www.gigasciencejournal.com • Promotes reproducibility • ALL research objects published (data, software tools and workflows • FAIR Principles – Findable – Accessible – Interoperable – Reusable
  • 6.
  • 7. The Growth of GigaDB 0 100 200 300 400 500 2011 2012 2013 2014 2015 2016 2017 2018 Total Datasets 20 different data types, of which 60% represent genomic data, with software, transcriptomic & imaging datasets also having high numbers.
  • 8. New Developments • 2 new curators (200% increase in staff!) – Chris Armit – Data Scientist • orcid 0000-0002-9952-8141 – Mary Ann Tuli – Data Editor • orcid 0000-0002-4667-9528 – Join Chris Hunter – Lead Biocurator • orcid 0000-0002-1335-0881
  • 9. New Developments • Imaging (Chris Armit) – 3D model viewer – CT and MRI images to be interactively explored (see http://gigasciencejournal.com/blog/)
  • 11. MOD Pathway – carrot model Pre-publication Curator Author MOD driven Author driven MOD driven (pre-pub) Author driven (minimal curation)
  • 12. Journal Pathway – stick model GigaDB curator GigaScience Editor Author
  • 13. What I’ve learnt at GigaDB • Authors are more invested – Respond to queries (quickly!) – Keen to work together • Time pressures
  • 14. “We need to make authors WANT to make their data available” Quote from a journal editor – ISB conference, Cambridge 2013
  • 15. What can the Biocurator Community learn • Better outreach • Better personal communication • Streamline submission pipelines • What’s in it for them? – Priority processing and availability in database – Recognition
  • 16. Giga Team GigaScience won the 2018 Innovation in Journal Publishing: Multidisciplinary Prose Award. Editor-in-Chief Executive Editor Editors Laurie Goodman Scott Edmunds Nicole Nogoy Hans Zauner Lead Data Manager Database Manager Peter Li Si Zhe Xiao Lead Biocurator Data Editor Data Scientist Chris Hunter Mary Ann Tuli Chris Armit