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The slow revolution in scholarly communication
and how libraries can adapt their perspective
Jeroen Bosman & Bianca Kramer
SPARC Japan, Tokyo, January 19, 2016
@MsPhelps
@jeroenbosman
2005
2010
Analysis
Outreach
Avalanche of new tools for all research phases
since about 2006
Search, experiment, publish and outreach
have longest tradition of online tool creation
What people can use
Database: web based scholarly
communication&research tools
http://bit.ly/innoscholcomm-list
Open for
user
comments
and
additions
A slow revolution?
New tools are changing
scholarly communication
Rising stars from the last 6 months, according
to number of Twitter followers
Fastest growers per activity Fastest growers overall with 1000+ followers on July 1, 015
How to get to grips with all these changes?
Three goals for science & scholarship (G-E-O)
• declaring competing interests
• replication & reproducibility
• meaningful assessment
• effective quality checks
• credit where it is due
• no fraud, plagiarism
• connected tools & platforms
• no publ. size restrictions
• null result publishing
• speed of publication
• (web)standards, IDs
• semantic discovery
• re-useability
• versioning
open peer review •
open (lab)notes •
plain language •
open drafting •
open access •
CC-0/BY •
good
efficient open
technical
changes &
standards
research
governance
changes
economic
& copyright
changes
researcher
funder
government
publisher
public
library
Ongoing discussions
researcher
funder
publisher
public
government library
good
efficient open
Simple cyclic model of the research workflow
preparation
analysis
writingpublication
outreach
assessment discovery
Multi-cyclic model of the research workflow
preparation
analysis
writingpublication
outreach
assessment discovery
Rounds of grant writing
and application
Iterations of
search and reading
Drafting, receiving
comments,rewriting
Submit, peer review,
rejection, resubmitting
Rounds of experiments
and measurements
Multi-cyclic model of the research workflow, with
loops
preparation
analysis
writingpublication
outreach
assessment discovery
Rounds of grant writing
and application
Iterations of
search and reading
Drafting, receiving
comments,rewriting
Submit, peer review,
rejection, resubmitting
Rounds of experiments
and measurements
A multi-cyclic, multi-ordered
model of the research workflow, with loops
preparation
analysis
writingpublication
outreach
assessment discovery
Rounds of grant writing
and application
Iterations of
search and reading
Drafting, receiving
comments,rewriting
Submit, peer review,
rejection, resubmitting
Rounds of experiments
and measurements
A multi-cyclic, multi-ordered
model of the research workflow, with loops
preparation
analysis
writingpublication
outreach
assessment discovery
Rounds of grant writing
and application
Iterations of
search and reading
Drafting, receiving
comments,rewriting
Submit, peer review,
rejection, resubmitting
Rounds of experiments
and measurements
Example research workflows:
traditional to experimental
Example research workflows:
traditional to experimental
Add no functionality compared to print era, except online accessibility
Represent radical change, with sometimes uncertain technologies and outcomes; still
under development
Use scale and linking possibilities of the internet to increase speed and efficiency
Actually change ‘the way it’s always been done’ – e.g. user-driven, different business
models, changes in the sequence of research activities, shifting stakeholder roles
Open Science
y y y y yElsevier
Example research workflows:
company silos / open science
What people do use and say
学術コミュニケーション・ツールの利用に関
するアンケート調査
http://101innovations.wordpress.com
open until
February 10
2016
over 13,000
responses
from >100
countries
Survey: scholarly communication tools
Compare yourself to your peer group
Survey: demographics (at end 2015, 8028 records)
What is your research role?
Survey: demographics (at end 2015, 8028 records)
What discipline are you working in?
Do you support Open Access ?
USA 86 %
Canada 90 %
Brazil 90 %
Venezuela 94 %
China 86 %
Japan 81 %
India 88 %
Australia 87 %
UK 91 %
Germany 92 %
France 90 %
Do you support Open Science ?
USA 78 %
Canada 80 %
Brazil 92 %
China 89 %
Japan 74 %
India 92 %
Australia 82 %
UK 81 %
Germany 75 %
France 81 %
Venezuela 94 %
Early career vs. senior researchers:
the example of outreach
Early career researchers
Senior researchers
All respondentsTW OTH WP WK
TW OTH WP WK
TW OTH WP WK
Reference management tools – global
Reference management tools – Japan
Usage of Japanese tools
How libraries can adapt their perspective?
Library services across
the full workflow
And in the research preparation phase:
• advice on OA funding
• advice on data requirements
• access to funding search engines
• systematic reviews (A)
D
A
WP
O
A
Service types:
A = advice
I = infrastructure
S = spaces
T = training
Researcher activities linked to library services
From: mission and policy statement
Utrecht University Library (at 20160111)
Approaches for the library
Build on traditional strenghts:
• Knowledge of information organisation
• Neutral, service oriented tradition
Develop new strenghts:
• Communication skills
• Data and code savvyness
• Learn to be comfortable with uncertainties and innovation
How you can cooperate and use this
Make these data work for you- Preview of dashboard
Make these data work for you- Preview of dashboard
Make these data work for you
Do Asian postdocs look more to impact
factors to select a journal to publish in than
their Latin American counterparts?
Make these data work for you
Is sharing ‘preprints’ gaining traction beyond
the fields of astronomy, physics and math, and
if so, what platforms are used?
Make these data work for you
Which tools are used in multiple research
phases, and are they leading tools
in any of these phases?
Call to action
Call to action – help distribute our survey
English
français
Español
Русский
简体中文
日本語
‫العربية‬
Japanese reponses so far
•Year end 2015: ~100
Now:
•Japanse version 162
•English version ~90
Custom URL - get data from your institution
we’ve got >90 institutional partners worldwide
How to help distribute the survey in your
institution and stimulate Japanese responses
1. Decide whether your institution wants to participate
2. Get in contact: j.bosman@uu.nl
3. We will create a custom URL
4. Invite researchers to the survey, using the custom URL
5. We will send you your institution’s results
6. In the data we make public your institution will not be recognisable
And/or spread the general survey URL: 101innovations.wordpress.com
End date:
Februari 10
101innovations.wordpress.com
Bianca Kramer, @MsPhelps, b.m.r.kramer@uu.nl
Jeroen Bosman @jeroenbosman, j.bosman@uu.nl
http://www.slideshare.net/hierohiero/sparcjapanslowrevolutioninscholarlycommunication

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Sparc-Japan-Slow-revolution-in-scholarly-communication

  • 1. (except logo’s) The slow revolution in scholarly communication and how libraries can adapt their perspective Jeroen Bosman & Bianca Kramer SPARC Japan, Tokyo, January 19, 2016 @MsPhelps @jeroenbosman
  • 3. Avalanche of new tools for all research phases since about 2006
  • 4. Search, experiment, publish and outreach have longest tradition of online tool creation
  • 6. Database: web based scholarly communication&research tools http://bit.ly/innoscholcomm-list
  • 7.
  • 10. New tools are changing scholarly communication
  • 11. Rising stars from the last 6 months, according to number of Twitter followers Fastest growers per activity Fastest growers overall with 1000+ followers on July 1, 015
  • 12. How to get to grips with all these changes?
  • 13. Three goals for science & scholarship (G-E-O) • declaring competing interests • replication & reproducibility • meaningful assessment • effective quality checks • credit where it is due • no fraud, plagiarism • connected tools & platforms • no publ. size restrictions • null result publishing • speed of publication • (web)standards, IDs • semantic discovery • re-useability • versioning open peer review • open (lab)notes • plain language • open drafting • open access • CC-0/BY • good efficient open technical changes & standards research governance changes economic & copyright changes researcher funder government publisher public library
  • 15. Simple cyclic model of the research workflow preparation analysis writingpublication outreach assessment discovery
  • 16. Multi-cyclic model of the research workflow preparation analysis writingpublication outreach assessment discovery Rounds of grant writing and application Iterations of search and reading Drafting, receiving comments,rewriting Submit, peer review, rejection, resubmitting Rounds of experiments and measurements
  • 17. Multi-cyclic model of the research workflow, with loops preparation analysis writingpublication outreach assessment discovery Rounds of grant writing and application Iterations of search and reading Drafting, receiving comments,rewriting Submit, peer review, rejection, resubmitting Rounds of experiments and measurements
  • 18. A multi-cyclic, multi-ordered model of the research workflow, with loops preparation analysis writingpublication outreach assessment discovery Rounds of grant writing and application Iterations of search and reading Drafting, receiving comments,rewriting Submit, peer review, rejection, resubmitting Rounds of experiments and measurements
  • 19. A multi-cyclic, multi-ordered model of the research workflow, with loops preparation analysis writingpublication outreach assessment discovery Rounds of grant writing and application Iterations of search and reading Drafting, receiving comments,rewriting Submit, peer review, rejection, resubmitting Rounds of experiments and measurements
  • 21. Example research workflows: traditional to experimental Add no functionality compared to print era, except online accessibility Represent radical change, with sometimes uncertain technologies and outcomes; still under development Use scale and linking possibilities of the internet to increase speed and efficiency Actually change ‘the way it’s always been done’ – e.g. user-driven, different business models, changes in the sequence of research activities, shifting stakeholder roles
  • 22. Open Science y y y y yElsevier Example research workflows: company silos / open science
  • 23. What people do use and say
  • 26. Compare yourself to your peer group
  • 27. Survey: demographics (at end 2015, 8028 records) What is your research role?
  • 28. Survey: demographics (at end 2015, 8028 records) What discipline are you working in?
  • 29. Do you support Open Access ? USA 86 % Canada 90 % Brazil 90 % Venezuela 94 % China 86 % Japan 81 % India 88 % Australia 87 % UK 91 % Germany 92 % France 90 %
  • 30. Do you support Open Science ? USA 78 % Canada 80 % Brazil 92 % China 89 % Japan 74 % India 92 % Australia 82 % UK 81 % Germany 75 % France 81 % Venezuela 94 %
  • 31. Early career vs. senior researchers: the example of outreach Early career researchers Senior researchers All respondentsTW OTH WP WK TW OTH WP WK TW OTH WP WK
  • 35. How libraries can adapt their perspective?
  • 36. Library services across the full workflow And in the research preparation phase: • advice on OA funding • advice on data requirements • access to funding search engines • systematic reviews (A) D A WP O A Service types: A = advice I = infrastructure S = spaces T = training
  • 37. Researcher activities linked to library services From: mission and policy statement Utrecht University Library (at 20160111)
  • 38. Approaches for the library Build on traditional strenghts: • Knowledge of information organisation • Neutral, service oriented tradition Develop new strenghts: • Communication skills • Data and code savvyness • Learn to be comfortable with uncertainties and innovation
  • 39. How you can cooperate and use this
  • 40. Make these data work for you- Preview of dashboard
  • 41. Make these data work for you- Preview of dashboard
  • 42. Make these data work for you Do Asian postdocs look more to impact factors to select a journal to publish in than their Latin American counterparts?
  • 43. Make these data work for you Is sharing ‘preprints’ gaining traction beyond the fields of astronomy, physics and math, and if so, what platforms are used?
  • 44. Make these data work for you Which tools are used in multiple research phases, and are they leading tools in any of these phases?
  • 46. Call to action – help distribute our survey English français Español Русский 简体中文 日本語 ‫العربية‬
  • 47. Japanese reponses so far •Year end 2015: ~100 Now: •Japanse version 162 •English version ~90
  • 48. Custom URL - get data from your institution we’ve got >90 institutional partners worldwide
  • 49. How to help distribute the survey in your institution and stimulate Japanese responses 1. Decide whether your institution wants to participate 2. Get in contact: j.bosman@uu.nl 3. We will create a custom URL 4. Invite researchers to the survey, using the custom URL 5. We will send you your institution’s results 6. In the data we make public your institution will not be recognisable And/or spread the general survey URL: 101innovations.wordpress.com End date: Februari 10
  • 50. 101innovations.wordpress.com Bianca Kramer, @MsPhelps, b.m.r.kramer@uu.nl Jeroen Bosman @jeroenbosman, j.bosman@uu.nl http://www.slideshare.net/hierohiero/sparcjapanslowrevolutioninscholarlycommunication

Notas del editor

  1. Motiverend en voor ons belangrijk, afgelopen 20 jaar en vooral laatste 5-10 jaar meer in onderzoek/publiceren veranderd dan 350 jaar daarvoor
  2. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  3. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  4. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  5. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  6. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  7. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel
  8. Simpel, kan nog simpeler, blijft model; werkelijk onderzoek nooit sequentieel