JISC DataPool by Dorothy Byatt, (University of Southampton). Presentation at Demystifying Research Data: don’t be scared be prepared: A joint JIBS/RLUK event, Tuesday 17th July, Brunei Gallery at SOAS (School of Oriental and African Studies), London.

1. JISC DataPool
Building Capacity, Developing Skills,
Supporting Researchers
Dorothy Byatt
18 July 2012

2. DataPool - A project for the research life cycle
• To embed the management of
research data into the infrastructure
and culture of our institution
• To integrate data management
throughout the research life cycle -
from proposal to storing and sharing
http://datapool.soton.ac.uk/
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3. DataPool
Building Capacity, Developing Skills, Supporting Researchers
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•SharePoint •Ratified
1 2
•Data Repository •Embedded
•MetaData log •Implemented
System Policy
Guidance
•Discipline and Training •Developing Skills
Exemplars Support •Supporting
•Re-use /
researchers
integration case
studies 4 3
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Byatt, D. (D.R.Byatt@soton.ac.uk); Hancock, P.J. (p.j.hancock@soton.ac.uk); Hitchcock, S. (sh94r@ecs.soton.ac.uk); White, W. (whw@soton.ac.uk)

4. IDMB Roadmap Years 1-3 Key points:
POLICY
• Institutional policy  (DataPool)
INFRASTRUCTURE
• Scalable and sustainable business model for storage
– Initial model  (IDMB)
• more evidence required for further investment (DataPool)
• Institutional data repository
– SharePoint and EPrints (DataPool)
SUPPORT
• A one-stop shop for data management advice and guidance
– http://www.southampton.ac.uk/library/research/researchdata/
(DataPool)
• In progress

5. Research Data Management Policy
• Underpins the project
• An iterative process
– views gathered through designated
“data” contacts within Faculties
initially
• Will inform data management processes
• Will influence data management plans -
required by most funders
http://www.calendar.soton.ac.uk/sectionIV/research-data-management.html
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7. DataPool - Informing the Infrastructure
Looking for a simple deposit system to:
• Support the research data workflow
• Capture metadata from existing University systems
– 3 level
• Project
• Core
• Discipline
• Manage access and facilitate sharing
• Is geared towards the individual researcher
• Is flexible and able to deal with different disciplines
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8. Caption for the image should
be placed in a clear area on
the image to ensure it is
legible

9. EPrints – DataShare* app
* From the EPrints Bazaar
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10. SharePoint
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11. Guidance, Training and Support
• Data life cycle begins with the research proposal
• Provide a network of services to support the researcher from proposal
to deposit, based on existing services and expertise
• Internal
– Research and Innovation Service
– Doctoral Training Centres
– Library
• External
– Digital Curation Centre
– Archaeological Data Service
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12. DataPool Service Model
adapted with permission from Martin Lewis (2012) Working with other RDM actors slide 2
(http://www.rluk.ac.uk/content/clarifying-roles-libraries-research-data-management-discussion-day-find-creative-solutions
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Firefox only)

13. Guidance, Training and Support
• To enhance the support provided to researchers
– Website for guidance
– Workshops
– Training materials
» Introducing Research Data by Scott, M et al (2012)
» http://eprints.soton.ac.uk/338816/
• To provide training for academic, professional and support staff in support of this
role in areas such as:
– Writing data management plans
– Access and restrictions to access
– Creating metadata
– Storing and discarding
» Working with University of Oxford
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15. Blog and website
http://datapool.soton.ac.uk/ 15