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Supporting Good Practice
in Research Data
Management:
Edinburgh’s Experience
Robin Rice, Data Librarian
EDINA and Data Library
Information Services
University of Edinburgh
#LIBER, Riga, Latvia: 4th July, 2014
Supporting Good Practice in Research Data Management: Edinburgh’s Experience
4. Actively participate in institutional research data
policy development, including resource plans.
Encourage and adopt open data policies where
appropriate in the research data life cycle.
UoE RDM Policy &
Open Access to Data
“The University will provide
mechanisms and services
for storage, backup,
registration, deposit and
retention of research data
assets in support of current
and future access, during
and after completion of
research projects.”
“Any data which is retained
elsewhere, for example in
an international data
service or domain repository
should be registered with
the University.”
• “Research data of future
historical interest, and all
research data that
represent records of the
University, including data
that substantiate
research findings, will be
offered and assessed for
deposit and retention in
an appropriate national
or international data
service or domain
repository, or a University
repository.”
6. Support the lifecycle for research data by providing
services for storage, discovery and permanent
access.
UoEResearch Data Management
Roadmap (2012-2014)
1. Offer research data management support,
including data management plans for grant
applications, intellectual property rights advice and
information materials. Assist faculty with data
management plans and the integration of data
management into the curriculum.
Supporting Good Practice in Research Data Management: Edinburgh’s Experience
Supporting Good Practice in Research Data Management: Edinburgh’s Experience
Image by Cuna Ekmekcioglu
10. Offer or mediate secure storage for dynamic and
static research data in co-operation with institutional IT
units and/or seek exploitation of appropriate cloud
services.
Active Data Store
2. Engage in the development of metadata and data
standards and provide metadata services for
research data.
7. Promote research data citation by applying
persistent identifiers to research data.
8. Provide an institutional Data Catalogue or Data
Repository, depending on available infrastructure.
DataShare – open data
repository
From Stuart Lewis, 2013:
http://datablog.is.ed.ac.uk/2013/12/06/
the-four-quadrants-of-research-data-curation-systems/
DataShare & related
UoE RDM services
5. Liaise and partner with researchers, research
groups, data archives and data centers to foster an
interoperable infrastructure for data access, discovery
and data sharing.
Supporting Good Practice in Research Data Management: Edinburgh’s Experience
No silos: interoperation
• Member COAR, RDA,
UKCORR, Duraspace, IASSIST
• Pursuing Data Seal of
Approval
• Joined DataCite via British
Library
• COUNTER-compliant via
IRUS-UK
• OpenAire guidelines
• Registries: Databib,Re3data,
OpenDOAR, DCC Pilot
• Thomson-Reuters Data
Citation Index
• Endorsed by F1000 Research
• Looking at AltMetrics
9. Get involved in subject specific data management
practice.
3. Create Data Librarian posts and develop
professional staff skills for data librarianship.
UoE Data Library Service
• finding…
• accessing …
• using …
• teaching …
• managing
ChartsBin and mkandlez on flickr
Do-It-Yourself Research
Data Management
Training Kit for Librarians
University of Stirling librarians
Image by Lisa Haddow
Thanks & Links
• Email: R.Rice@ed.ac.uk
• MANTRA: http://datalib.edina.ac.uk/mantra
• DIY RDM Training Kit:
http://datalib.edina.ac.uk/mantra/libtraining.html
• UoE RDM Website: www.ed.ac.uk/is/data-management
• Data Library: www.ed.ac.uk/is/data-library
• Edinburgh Data Blog: http://datablog.is.ed.ac.uk

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Supporting Good Practice in Research Data Management: Edinburgh’s Experience

  • 1. Supporting Good Practice in Research Data Management: Edinburgh’s Experience Robin Rice, Data Librarian EDINA and Data Library Information Services University of Edinburgh #LIBER, Riga, Latvia: 4th July, 2014
  • 3. 4. Actively participate in institutional research data policy development, including resource plans. Encourage and adopt open data policies where appropriate in the research data life cycle.
  • 4. UoE RDM Policy & Open Access to Data “The University will provide mechanisms and services for storage, backup, registration, deposit and retention of research data assets in support of current and future access, during and after completion of research projects.” “Any data which is retained elsewhere, for example in an international data service or domain repository should be registered with the University.” • “Research data of future historical interest, and all research data that represent records of the University, including data that substantiate research findings, will be offered and assessed for deposit and retention in an appropriate national or international data service or domain repository, or a University repository.”
  • 5. 6. Support the lifecycle for research data by providing services for storage, discovery and permanent access.
  • 7. 1. Offer research data management support, including data management plans for grant applications, intellectual property rights advice and information materials. Assist faculty with data management plans and the integration of data management into the curriculum.
  • 10. Image by Cuna Ekmekcioglu
  • 11. 10. Offer or mediate secure storage for dynamic and static research data in co-operation with institutional IT units and/or seek exploitation of appropriate cloud services.
  • 13. 2. Engage in the development of metadata and data standards and provide metadata services for research data. 7. Promote research data citation by applying persistent identifiers to research data. 8. Provide an institutional Data Catalogue or Data Repository, depending on available infrastructure.
  • 14. DataShare – open data repository
  • 15. From Stuart Lewis, 2013: http://datablog.is.ed.ac.uk/2013/12/06/ the-four-quadrants-of-research-data-curation-systems/ DataShare & related UoE RDM services
  • 16. 5. Liaise and partner with researchers, research groups, data archives and data centers to foster an interoperable infrastructure for data access, discovery and data sharing.
  • 18. No silos: interoperation • Member COAR, RDA, UKCORR, Duraspace, IASSIST • Pursuing Data Seal of Approval • Joined DataCite via British Library • COUNTER-compliant via IRUS-UK • OpenAire guidelines • Registries: Databib,Re3data, OpenDOAR, DCC Pilot • Thomson-Reuters Data Citation Index • Endorsed by F1000 Research • Looking at AltMetrics
  • 19. 9. Get involved in subject specific data management practice. 3. Create Data Librarian posts and develop professional staff skills for data librarianship.
  • 20. UoE Data Library Service • finding… • accessing … • using … • teaching … • managing ChartsBin and mkandlez on flickr
  • 21. Do-It-Yourself Research Data Management Training Kit for Librarians University of Stirling librarians Image by Lisa Haddow
  • 22. Thanks & Links • Email: R.Rice@ed.ac.uk • MANTRA: http://datalib.edina.ac.uk/mantra • DIY RDM Training Kit: http://datalib.edina.ac.uk/mantra/libtraining.html • UoE RDM Website: www.ed.ac.uk/is/data-management • Data Library: www.ed.ac.uk/is/data-library • Edinburgh Data Blog: http://datablog.is.ed.ac.uk

Editor's Notes

  1. Planning: Support and services for planning activities that are typically performed before research data is collected or created AD Infra: Facilities to store data that are actively used in current research activities, to provide access to that storage, and tools to assist in working with the data Stewardship: Tools and services to aid in the description, deposit, and on-going management of completed research data outputs …
  2. Openly licensed online learning self-paced course in RDM for postgrads and early career researchers Grounded in three disciplines, working with post-graduate schools Video stories from researchers in variety of settings Data handling exercises in four software analysis packages http://datalib.edina.ac.uk/mantra
  3. “I need to analyse some data for a project, but all I can find are published papers with tables and graphs, not the original data source.” Accessing … “I’ve found the data I need, but I’m not sure how to gain access to it.” Using … “I’ve got the data I need, but I’m having problems analysing it in my chosen software.” Teaching … “I need a dataset that shows the distribution of mobile phone use to engage my students.”