Download - The Data Deluge: the Role of Research Organisations in a Brave New World by Dr Paul Ayris, UCL
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The Data Deluge: the Role of
Research Organisations in
a Brave New World
Dr Paul Ayris
Director of UCL Library Services and UCL Copyright Officer
Chief Executive, UCL Press
Co-Chair of the LERU community of Chief Information Officers
Adviser to the LIBER Board
e-mail: [email protected]
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
2
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Flaxman Gallery, UCL
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
3
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL
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4
The internet
has 1800
exabytes of
data in 2011
exa = 10^18
Steven Vale
UN Economic Commission for Europe
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5
50,000 exabytes by 2020
We live in
exponential
times!
27 fold
growth in
the next
9 years
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
6
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Flaxman Gallery, UCL
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What is Open Science?
Open Science is the movement to make scientific research, data and dissemination accessible at all levels of an enquiring society
7
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8
Data Gathering
Analysis
Publication
Review
Conceptualization
Citizen Science Open code Pre-print
Open Access Alternative Reputation Systems
Collaborative Bibliographies Science Blogs
Open Annotation Open Data
Open Lab Books/Workflows Data Intensive
Research Cycle
Characteristics
Open Science a paradigm shift in the modus
operandi of research and
science impacting the entire
scientific process
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% Agreement for Policy actions (abbrev.)
9
Question/Issue Need to
Intervene
Y
Need to
Intervene
N
Req’d
Action
Y
Req’d
Action
N
EU
Action
Y
EU
Action
N
Foster Open
Science – raise
awareness
52% 4% 48% 4% 19% 4%
Traditional Metrics
do not capture Open
Science
22% 7% 22% 7% 4% 7%
Develop research
infrastructures
56% 4% 11% 4% 48% 4%
OA to publications
and data
63% 11% 33% 26% 26% 11%
The most significant total
in the Validation exercise
Not much interest in any
intervention
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
10
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LERU Roadmap for Research Data
Overseen by Research Data
Working Group
Pablo Achard (University of Geneva)
Paul Ayris (UCL, University College London)
Serge Fdida (UPMC, Paris)
Stefan Gradmann (University of Leuven)
Wolfram Horstmann (University of Oxford)
Ignasi Labastida (University of Barcelona)
Liz Lyon (University of Bath)
Katrien Maes (LERU)
Susan Reilly (LIBER)
Anja Smit (University of Utrecht)
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• Identifies how policy development and leadership are undertaken
Policy and Leadership
• Who undertakes advocacy and what is the message?
Advocacy
• Technical Issues around collection and curation
Selection, Collection, Curation, Description, Citation, Legal Issues
• Where is it stored and by whom?
Research Data Infrastructure
• How much does it cost?
Costs
• What skills are required by which communities?
Roles, Responsibilities, Skills
• Who does what?
Recommendations to different stakeholder groups
12 http://en.wikipedia.org/wiki/File:DNA_orbit_animated.gif
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Key Messages
Each LERU university
needs a Research Data
Management Strategy
Researchers should have
Research Data
Management Plans
LERU universities need to
bring stakeholders together
Benefits of ‘open data’ for
sharing and re-use should
be advocated and explored
A Box of Useful Knowledge
(Brougham Papers, UCL Library Services)
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LEARN – LEaders Activating Research
Networks
Purpose is to develop the
LERU Roadmap for
Research Data to build a
global co-ordinated global
e-infrastructure
Outputs
Model Research Data
Management policy
Toolkit to support
implementation
Executive Briefing in five
core languages so as to
ensure wide outreach 14
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LEARN
5 partners
UCL (University College
London) – lead partner
University of Barcelona
University of Vienna
LIBER
ECLAC – UN Commission
for Latin America and the
Caribbean
Started in June 2015; runs
for 24 months
€497,000 budget
100% funded 15
Wilkins Building, UCL, 1826
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LEARN Deliverables
Model Research Data
Management Policy
Fed by a study of RDM
policies and input from
Workshop attenders
Toolkit to support
implementation
Issues identified in
Workshops and in
literature
Survey and self
assessment tools
Executive Briefing (in
several languages) 16
Wilkins Building, UCL, 1826
In Latin America & the Caribbean
Raising awareness around
Research Data Management
Developing global solutions
Supporting the researcher
and Citizen Scientist
anywhere
Advocating for new skills
development
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
17
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Based on issues raised in
the LERU Roadmap
13 questions based on how
to establish an Research
Data Management
Strategy
Traffic Lights reveal level of
preparation
Institutional or Personal level
18 LEARN RDM Survey
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19
Yes
• 37
• 31%
Working Towards
• 30
• 26%
No
• 51
• 43%
Does your institution
have a research data
policy?
ALL ANSWERS
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20
Yes
• 0
• 0%
Working Towards
• 11
• 42%
No
• 15
• 58%
Does your institution
have a research data
policy?
LATIN AMERICA
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21
Yes
• 43
• 37%
Working Towards
• 30
• 25%
No
• 45
• 38%
Does your institution
have dedicated
research data
governance?
ALL ANSWERS
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22
Yes
• 5
• 19%
Working Towards
• 9
• 35%
No
• 12
• 46%
Does your institution
have dedicated
research data
governance?
LATIN AMERICA
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Research Funder policies
UCL has tracked 15
global funder
policies
Research funders
can set direction for
Open Science
Funders have led
movement towards
Open Access
They should now do
the same for
research data
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Funder policy requirements
Funders Policy
AHRC Research Funding guide
BBSRC Data Sharing policy
Gates
Foundation
Open Access Policy
CRUK Data Sharing &
Preservation Policy
DFID Open and Enhanced
Access Policy
EC Horizon
2020 a&
ERC
Guidance on Publications
and Research Data
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What should research funders ask for?
Require Research Data
Management Policies in
institutions
Require Data
Management Plans from
individual researchers
Require that the default
position for research
data is that it should be
Open
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Funder policy requirements
Funder Policy
EPSRC Policy Framework on
Research Data
ESRC Research Data Policy
MRC Data Sharing Policy
NERC Data Policy
NIH Data Sharing Policy
Royal
Society
Conditions of Awards
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What should research funders ask for?
Require Research Data
Management Policies in
institutions
Monitor researchers’
compliance with their
requirements
Fund infrastructure -
like the UK Data Archive
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Funder policy requirements
Funder Policy
STFC Scientific Data Policy
UK
Department
of Health
NHS Information
Governance
Wellcome
Trust
Policy on Data Management
and Sharing
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
26
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European Open Science Cloud
EU High Level Expert
Group Report
Launched on 11 October
2016
Issues considered:
Infrastructures
Skills development
Reward and Recognition
Roles and responsibilities
Governance & Standards
Funding opportunities
Available here
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European Open Science Cloud
Headline points:
Build on existing infrastructure
and expertise
Devise Rules of Engagement
EU contribution to FAIR data
and Open Science
Build links to regional Cloud(s)
in Latin America & Caribbean
Develop expertise
Half a million ‘core data
scientists’ in Europe
5% of total research spend
should be on data
stewardship 28
King’s Cross Station, London
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Content
Data Deluge
Open Science
LEARN
Exemplar issues
LEARN Survey
Role for Research Funding
Agencies
European Open Science
Cloud
Conclusions
29
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL