2. Overview
• UoE Data Library service
• Research data management: scope
• Developing an institutional Research Data
Management Policy
• Researcher vs institutional responsibilities
• Supporting and training researchers
• Roadmap for strategic aims
4. RDM: scope
• An umbrella term to describe all aspects of
planning, organising, documenting, storing
sharing, and preserving data.
• It also takes into account issues such as
data protection and confidentiality.
• It provides a framework that supports
researchers and their data throughout the
course of their research and beyond.
5. University of Edinburgh Research
Data Mgmt Policy
• Passed by Senate in May, 2011
• Developed by an Information Services
committee set up by Vice Principal
• Involved academic champions
• Written by ex-DCC consultant
• Deemed „aspirational‟
• Complementary to
funders‟ policies
7. Roles & Responsibilities
• Who will support your researchers‟
planning?
• Who has responsibility during the research
project? Who has archival responsibility?
• Who has rights in the data?
• Are students considered?
8. Tips for policy development
Know the drivers for your own institution.
Practice the art of persuasion.
How big is your kirk? Seek alliances.
Who is your high-level champion?
Agree a style – mandate or enabling?
Postcard from the future: what will it
achieve?
9. Supporting and training
researchers at UoE
• Online guidance for academic staff
• Embedding RDM training into
postgraduate programmes (MANTRA)
• Tailored support for Data Mgmt Plans
(customising DMP Online tool)
• Training librarians & IT staff
• Awareness-raising across
schools and departments
13. Training Liaison Librarians
• DIY training facilitated by data librarians:
Topics:
• Data management planning
• Documenting & organising data
• Data storage & security
• Ethics & copyright
• Data sharing
14. Why do we need
awareness raising?
• A common question: “Why has nobody
told me about this before?”
• A common statement: “We need help with
keeping up to date with the new
tools/services that are continually
appearing … I generally only hear
about these by chance...”
15. UoE RDM Roadmap
• The RDM roadmap sets out a high level
plan for its delivery, noting objectives,
outcomes, deliverables and target dates
for the 18-month period July 2012-January
2014, across four strategic areas.
• Helps define the work
• Provides an overview to
interested parties
• Governance structure
17. Active Data Infrastructure
• 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
• Issues
– Multi-platform, globally accessible
– “dropbox-like” functionality?
– Resilience and replication
18. Data stewardship: archiving and
preservation services
• Should the institution be doing this?
– EPSRC says so
“Research organisations will ensure that EPSRC-funded research
data is securely preserved for a minimum of 10-years from the date
that any researcher „privileged access‟ period expires or, if others
have accessed the data, from last date on which access to the data
was requested by a third party.”
• How to do digital preservation: “Know what
you’ve got and keep the bits safe.”
• – Tim Gollins, TNA
20. Edinburgh DataShare
• Built in 2007-09 with JISC funding as a
pilot institutional data repository
• Based on DSpace, own metadata profile
(Similar to DataCite)
• Voluntary deposits trickling in
• Being put forth as robust University-wide
service (SLD, policies)
21. Links
• University of Edinburgh policy
– http://www.ed.ac.uk/is/research-data-policy
• UoE Roadmap:
– http://www.ed.ac.uk/schools-departments/information-
services/about/strategy-planning/rdm-roadmap
• MANTRA online training
– http://datalib.edina.ac.uk/mantra/
• UoE Data Library
– http://www.ed.ac.uk/is/data-library
• Edinburgh DataShare
– http://datashare.is.ed.ac.uk/
Editor's Notes
Edinburgh DataShare is an open repository for any research data created by Edinburgh University researchers, based on DSpace. Datasets are discoverable via search engines in order to maximise visibility and impact. Datasets can be licensed using suitable licences such as those from the Open Data Commons. This provides the facility to fulfil funder mandates when data is required to be published openly. The data submission process creates a permanent record, a persistent identifier, access statistics, and a suggested citation for formal attribution upon re-use. There are customisation options for look and feel (e.g. logos) and metadata fields by community or collection.