Transcript Research Infrastructure and the Library

How librarians can be a
bigger part of the research
process
David Groenewegen
Director, Research Infrastructure
Monash University Library
What is Research Data Management?
 All those activities which a researcher can
undertake
– to organise and manage their data
– to facilitate their own research, and
– to provide a foundation for the longer-term
sustainability of the data
 Supported by institutional policies, procedures and
services
 Managed data is sharable data
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Why Research Data Management is
important
 Makes research more efficient
 Data is protected from loss/theft/misuse
 Data can be referred to later or reused (by the creator, or others)
 Data validates research and can be linked to publications
 Facilitates collaboration: data is easier to share with others
 Compliance with funding requirements
 Research impact: Increased citation of articles if data is supplied? In
future, potential to highlight how many times data has been cited/reused?
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International perspective
 G8 Science Ministers: June 12, 2013
i.
ii.
iii.
iv.
To the greatest extent and with the fewest constraints possible publicly
funded scientific research data should be open, while at the same time
respecting concerns in relation to privacy, safety, security and commercial
interests, whilst acknowledging the legitimate concerns of private partners.
Open scientific research data should be easily discoverable, accessible,
assessable, intelligible, useable, and wherever possible interoperable to
specific quality standards.
To maximise the value that can be realised from data, the mechanisms for
delivering open scientific research data should be efficient and cost
effective, and consistent with the potential benefits.
To ensure successful adoption by scientific communities, open scientific
research data principles will need to be underpinned by an appropriate
policy environment, including recognition of researchers fulfilling these
principles, and appropriate digital infrastructure.
“We decide to build on the existing work to coordinate and enable international
data collaboration.”
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What does the Library bring?
 Desire to be part of a changing world
 Existing relationships with researchers and faculty /
unit research managers
 Trusted partner in research
 Staff with relevant transferable knowledge and
skills, e.g. interviews, metadata, copyright / IP
 Locus for activities relating to scholarly
communication (including open access)
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Doing this at Monash
• Needs to be part of business as usual for
researchers and us
• Want to incorporate it into library outreach,
teaching and training, rather than do it as an
exception, or as “special”
• Will provide a central point for support and
development
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What this will look like
• Research data management is mainstreamed
through:
• Incorporation into training and engagement
• Infrastructure for all researchers
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•
•
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Advice
Tools
Storage
Publication
• Collaboration between Researchers, Faculties,
Library, eSolutions, MeRC, MIGR and
Research Office
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Implementation
 Combination of top-down and bottom-up
 Top-down – policy, infrastructure
 Bottom-up – hands-on
– Faculties, e.g. Pharmacy
– School or centre, e.g. Biochemistry and Molecular
Biology, Centre for Organisational and Social
Informatics
– Specific Workgroups
– Supervisor training
– Early career researchers
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Monash Library-led RDM activities
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Building on existing staff expertise?
Current focus
Extending to RDM
Find / collect
Search skills
Data capture methods
Synthesise / analyse
Literature review
Data analysis
Manage intellectual
property
Copyright
Copyright & data
Fair use of publications Re-use & licensing
Organise
Organise published
works with tools like
Endnote
Structure data and
metadata using a
range of methods/tools
Communicate
Writing a thesis
Publishing options
Options for data
dissemination
Have integrity
Plagiarism
Referencing
Privacy
Confidentiality
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Outreach
 Contact librarians and learning skills advisers are
partnering with academics
 Work underpinned by theory in the form of the
Research Skills Development Framework
 Information research skills regularly addressed in
unit reviews, skill diagnostics, curriculum design,
assessment task design, marking rubrics, etc.
 Emphasis on research skills from undergrad
through Honours and on to higher degrees
Increasing capacity to share registry data - David Groenewegen
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Publishing and discovery
 Making data available online
 Local storage
 RDSI - Nodes
 Access control
 Citable (DOI)
 Licencing - AusGOAL
 Discovery
 Data registries – Research Data Australia
 Google
 Links to publications
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The Skills We Need
 Enabling
– Help with the basics
 Finding
– What tools can they use
 Referring
– Knowing who/where to send them
 Describing
– Helping to make it sensible for the rest of the
world
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The Challenges going forward
 Learning new things
 Moving into new areas
– sustainability
 Giving up old things
 Being taken seriously
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2012 top ten trends in academic libraries
 Communicating value
 Data curation
 Digital preservation
 Higher education
 Information technology
 Mobile environments
 Patron driven e-book acquisition
 Scholarly communication
 Staffing
 User behaviors and expectations
http://crln.acrl.org/content/73/6/311.full
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[email protected]
Thanks to Sam Searle
THANKS – QUESTIONS?
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