Daniela Duca's presentation at the DataVault workshop on 29 June. An overview of research at risk, research data shared service and research data spring.

1. Jisc work in research data14/06/2016
DataVault ImplementationWorkshop

2. Content
» About Jisc
» Research at Risk
– Research Data Shared Service
– Research Data Spring
2Jisc work in research data

3. Our vision and mission
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Mission
To enable people in higher
education, further education and
skills to perform at the forefront of
international practice by exploiting
fully the possibilities of modern
digital empowerment, content
and connectivity
Vision
To make the UK the most
digitally advanced
education and research
nation in the world

4. We do… 3 main things
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Shared digital
infrastructure
and services
Expert and
trusted advice
and practical
assistance
Sector wide deals
with IT vendors
and commercial
publishers
Current
examples:
Janet network,
shared data centre,
eduroam wireless,
geospatial services
Future
examples:
Learner analytics,
research data
management,
FE college
in a box
Current
examples:
Microsoft 365
email, Amazon
web services,
e-journals,
FE e-books
Future
examples:
Prevent web
filtering,Tableau,
new models for
digital publishing
Current
examples:
Financial x-ray,
cloud advice,
cyber
security/business
continuity
Future
examples:
FE mergers, open
access good
practice, national
monograph
strategy

5. A vision for research data shared infrastructure
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6. Co-design vision for Research
To view and read the research 2020 vision: https://jisc.ac.uk/sites/default/files/research-vision.pdf
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7. Research at Risk Overview
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Research data
discoveryResearch
data
usage
metrics
Equipme
nt
sharing
Research
data
shared
service
Business
case and
costing
Research
data
spring
prototypes
Our work in Research at Risk is focused on
delivering a robust a research data
management infrastructure and services to
enrich UK research.We are developing a range
of tools, services and guidance to support
research data management in institutions in
close consultation with the higher education
sector.Through these we are supporting
compliance with research data policies as well
as enabling the broader sharing and
accessibility of research data.
Journal
research
data
policies

8. Project highlights
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Research data
discoveryResearch
data
usage
metrics
Equipme
nt
sharing
Research
data
shared
service
Business
case and
costing
Research
data
spring
prototypes
Journal
research
data
policies
An infrastructure to enable
interoperability and a one-
stop-shop for RDM.
A platform that enables the discovery of
research data from across UK higher
education and research data centres.
A clearly articulated high level business
case for RDM, underpinned by economic
evidence.
A service to show where data is accessed
and reused based on agreed and reliable
indicators. Based on IRUS-UK.
An infrastructure that will help universities
share their research equipment with each
other and with industry.
An initiative to develop tools that help
researchers and institutions by
empowering innovative collaborations.
An analysis of 250 journal policies and
work on templates and definitions for
good practice.

9. Research data shared service
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10. Research Data Shared Service
Vision
»Visible data, invisible
infrastructure
For researchers:
intuitive, easy functionality
For institutions:
interoperable systems and
best practice
Goals
» Policy compliance
» Increase sector efficiencies
» Improve integrity of
research
» Address gaps
» Accelerate RDM
» Support for Open
Access/REF
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11. Why a Shared Service for research data?
»There is no “solution” easily available and that meets
requirements for Universities to enable Research Data
Management
»Cost savings and efficiencies
»Common approaches and practice
»Research system standardisation and interoperability
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12. Why a Shared Service?
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13. A **key** requirement
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14. High level RDM Architecture
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Credit for Architecture concepts: John Lewis (Sheffield) & Stuart Lewis (Edinburgh) http://dx.doi.org/10.6084/m9.figshare.1202230
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15. Pilot Shared Service Scope
15
Credit for Architecture concepts: John Lewis (Sheffield) & Stuart Lewis (Edinburgh) http://dx.doi.org/10.6084/m9.figshare.1202230
Pilot Shared Service Area Other R@R Work Areas Existing Jisc Services/Agreement Areas
Jisc work in research data

16. Where are we now?
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17. Research Data Shared ServiceTimeline
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Milestones 2015-18
Apr 2015-Dec 2015 Jan 2016 – July 2016 Aug-2016 -June 2017 Jul 2017-Sept 2017 Oct 2017-Apr 2018
-Requirements -
HEI Pilots
Selected
-Procurement
commences
- Support
consultancy work
begins
-Supplier
Framework
selected
-Alpha
Development
-Alpha service
tested and
reviewed
-Beta
Development
-Feedback on Beta
Service
- Business case
decision
-If go then begin
transition to
production service
-Institutional
survey
-HEI and supplier
workshops
-Pilot HEI
selection process
-Detailed HEI
requirements and
technical
architecture
-Contracting
commences
-Development
Phase
-Contact additional
early adopter HEI’s
and promote Beta
Service
-Business planning
and Begin Business
Case
-Market Research
and Consultation
-Promote service to
institutions
-Start on next
phases (service
enhancement/mod
ular)

18. Pilots
» Cardiff University
» CREST - Buckinghamshire
New University
» CREST - Harper Adams
» CREST - St Mary’s
Twickenham
» CREST - UCA
» ImperialCollege of Science,
Technology and Medicine
» Middlesex University
» Plymouth University
» Royal College of Music
» St George's Hospital Medical
School
» University of Cambridge
» University of Lancaster
» University of Lincoln
» University of St Andrews
» University of Surrey
» University ofYork
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19. RD Shared Service Framework Lots
» Lot 1 - Research Data Repositories (4)
» Lot 2- Repository Interfaces (6)
» Lot 3 - Research Data Exchange Interface (3)
» Lot 4 - Research Information andAdministration Systems
Integrations (1)
» Lot 5 -Research Data Preservation Platforms (2)
» Lot 6 - Research Data Preservation tools development (2)
» Lot 7 - Research Data Reporting (2)
» Lot 8 - User Experience enhancements (4)
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20. Links to R@R Portfolio
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21. Research data spring
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22. The initiative
Develop tools to help researchers and institutions
Empower and enable innovative collaborations
»Key features:
› 3-phased approach
› Check points and panel
› Sector feedback and engagement
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23. The approach
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24. The projects – Phase III
1. DMAOnline - RDM
Administration Analytics
2. Develop a DataVault
3. Filling the Digital
Preservation Gap
4. Clipper: EnhancingTime-
based Media for Research
5. Giving Researchers Credit
for their Data & OJS to
Repository Plugin
6. Extending OPD to cover
RDM
7. Artivity
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25. More details
»Summary of projects from Phase III: bit.ly/23d8Z0n
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26. Next steps
»Updates on the synthesis work from the DPC and SSI
»Working with the projects to develop their projects into
robust and sustainable solutions (either as web apps,
beta services, part of larger infrastructure, along with
case studies)
»Final showcase of all participating projects – Autumn
2016
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Thank you!
And any questions?
Daniela Duca, Jisc @danielagduca
daniela.duca@jisc.ac.uk
Except where otherwise noted, this
work is licensed under CC-BY-NC-ND