MULTIDISCIPLINRY NATURE OF THE ENVIRONMENTAL STUDIES.pptx
Bridging the gap between researchers and research data management
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Marieke Guy
Digital Curation Centre
m.guy@ukoln.ac.uk
Funded by:
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Bridging the gap between
researchers and research data
management
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July 2013, London
Research data
• Data, or units of information which are created in the
course of funded or unfunded research
• The highest priority research data is that which underpins
a research output
• Facts, statistics, qualitative, quantitative, not published
research output, discipline specific
http://www.flickr.com/photos/charl
eswelch/3597432481//
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Partitioning research data
• Research lifecycle
• Research process
• Research domain
• Other factors e.g. scale
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•Government Open Agenda
•Public pressure – data as a public good
•Changes in funders’ data policies
•Research now becoming more global and more ‘data
Intensive’ – Riding the Wave report
•Institutional need for better research integrity - REF
•Best practice
•Desire to be ‘good researcher’ and a well-cited researcher
External
Internal
RDM drivers
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Key questions to consider when:
- Creating data
- Documenting data
- Storing data
- Sharing data
- Preserving data
- Planning data management
How do you manage data?
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Digital Curation Centre (DCC)
• Consortium comprising units from the Universities of Bath
(UKOLN), Edinburgh (DCC Centre) and Glasgow (HATII)
• launched 1st March 2004 as a national centre for solving
challenges in digital curation that could not be tackled by
any single institution or discipline
• funded by JISC with additional HEFCE funding from 2011
for the
• provision of support to national cloud services
• targeted institutional development
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Screen Shot 2012-05-03 at
11.14.00.png
http://www.dcc.ac.uk/
9. ISKO UK Biennial Conference, 9th
July 2013, LondonHow to cite data
• How to: appraise and select, cite
data sets, develop a data
management plan, licence research
data
• Access: embargoes, FOI
• Storage: file-store, cloud, data
centres, funder policy
• Worked intensively Informatics:
disciplinary metadata schema,
standards, formats, identifiers,
ontologies
• New: How to set a RDM service –
coming soon!
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Institutional Engagements
• Worked intensively with 20+ HEIs to increase RDM
capability
• 60 days of free effort per HEI drawn from a mix of DCC staff
• Single point of contact - Senior Institutional Support Officer
• Deploy DCC & external tools, approaches & best practice
• Support varied based on what each institution
wanted/needs
• Lessons & examples to be shared with the community
www.dcc.ac.uk/community/institutional
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Who are we working with?
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Support from the DCC
Assess
Needs
Make the case
Develop
support
and
services
RDM policy
development
DAF & CARDIO
assessments Guidance and
training
Workflow
assessment
DCC
support
team
Advocacy with senior
management
Institutional
data catalogues
Pilot RDM
tools
Customised Data
Management Plans
…and support policy implementation
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DCC Tools
• CARDIO (http://cardio.dcc.ac.uk) – Used at
research group or department level to assess
activity and data management infrastructure and
contribute to an institution-wide view.
• DAF (http://www.data-audit.eu) – Structured
mechanism to identify what data exists, who claims
responsibility for it and what long-term custody
issues it presents.
• DMPOnline tool (http://dmponline.dcc.ac.uk) –
Creation of a customised DMPOnline, which
develops data management plans that fit funder
requirements before and after an award of grant.
• Risk management (http://bit.ly/drambora)
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Knowledge organising systems
• Institutional data registries and Current Research Information
Systems (CRIS)
• Retrieval systems:
– Identifiers, e.g. for data, people & organisations (e.g. DOI,
ORCID)
– Citation frameworks, attribution, provenance (e.g. DataCite)
– National / discipline-based data registries
– Metadata standards (e.g. RIF-CF, CERIF, DCMI) – DCC catalog
– Open data approaches and the use of semantic technologies
(e.g. Linked Data)
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Case Study: Oxford Brookes
• Steering group meeting attendance
• Policy and EPSRC roadmap development
• Conducted a DAF in 4 different faculties (Business, Health &
Life Sciences, Humanities & Social Sciences, Technology,
Design & Environment)- investigated data holdings, capacity
growth, current practice etc.
• DMP Online template
• CARDIO lite exercise
• Training sessions for researchers and librarians
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immersiveInformatics
• Pilot training programme
• Research data management training for HE support services
• Run in parallel at Uni of Bath and Uni of Melbourne
• Modular training - 10 modules delivered at approximately one
module per week, delivered in one-day F2F workshops
• Supported with a suite of resources
• Two modules will feature Immersive Research Department
Days (IRDDs) and will involve shadowing practising researchers
• Participants will work on a real dataset and create a data diary
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• Less hierarchy quicker approval
• Smaller scale easier to engage research community
• Researchers more willing to work with the centre
• Senior management more hands-on
Existing tools & resources + quicker process of change =
opportunity for smaller, modern institutions to storm ahead
Reflections: small is beautiful
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Socio-organisational factors
• Awareness by HEIs of the value of research data as a
component of their knowledge store
• High-level management commitment – pilot services
• Fostering of relationships across departments, disciplines
and support groups
• Engagement with external stakeholders e.g. commercial
partners and funders
• Training for researchers, librarians, support staff
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Components
of
RDM
support
service
From ‘How
to develop
RDM
services’
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Final thoughts..
• DCC has published reports, case studies, blog posts and best
practice guides
• Process has vehicle for embedding good practice within small
group - broader impact on the HE community
• Possible to identify changes in research data management
practice as a result of institutional engagements
• External interest in programme
• New tranche of engagements planned – with changes – DCC
121
• Much overlap with knowledge organisation field of study
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Any questions?
• Thanks to my DCC colleagues for help with my paper and
slides
Editor's Notes
We ’ve tried to get a balanced mix of institutions, from ancient unis such as Edinburgh and Glasgow to more modern post 1992 institutions. There ’s a geographic spread and a mixture of research strengths.
To close I want to pick up on some trends that differentiate smaller, more modern institutions in terms of progressing RDM - In places such as Northampton and UEL there ’s less hierarchy so it’s been quicker to get policies and roadmaps approved. - Less research-intensive unis also have a smaller cohort of researchers to engage with – it ’s easier to disseminate news and get them involved - Researchers seem to be more willing to use central services – there ’s not the same degree of autonomy and resistance as in large, ancient unis - Senior management may commit more time to getting involved in RDM work – anecdote that PVC-R at OB stayed throughout DC101 workshop and joined in the breakout discussion with researchers to identify what they needed This flexibility and speed of change presents a real opportunity for smaller unis to storm ahead