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RISE – the DCC’s Research
Infrastructure Self-Evaluation
FrameworkKevin Ashley, Angus Whyte,
Jonathan Rans
Digital Curation Centre
www.dcc.ac.uk
@kevingashley
Kevin.ashley@ed.ac.uk
With thanks to other DCC
colleagues & all those
who helped us develop
the framework
My home – the DCC
• Consultancy
• Training
• Research
• Services
• Guidance
• Events
2018-03-19CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
2
Why do this?
• Comparators are useful for service development
• Mature service types well-served:
• Service models with components
• Tools & development guidance
• Rigorous peer comparison
• Immature service types
• case studies if you are lucky
• Difficulty finding comparable peers
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
3
The DCC response
 Ideal model helps us:
 Measure maturity
 Understand success
 Identify needed service components
 Allocate resource
 Identify how to improve and progress
 All general attributes of any capability & maturity
model
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
4
Institutions diverse in capabilities they need
Percentiles
3
%
20
%
77
%
Income range percentiles - split into 3 groups across all 161 HEIs
Research
income
% of
total
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
5
This shows scale in a
single regulatory &
funding environment.
Others are different
Capabilities x 10
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
6
Capabilities comprise 1-3 elements (22 in all)
Active data
management
• Scalability and
synchronisation
• Collaboration support
• Security management
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
7
Levels of capability
Security management
Level One Level Two Level Three
The service provides
authenticated access to
storage that is protected from
unauthorised data access, and
researchers are made aware of
procedures for data protection
and de-identification.
The service
provides tools/environments
that enable researchers to de-
identify, encrypt or control
access to data as required.
The service provides
researchers from across the
institution with access to ISO
27001/2 or equivalently
accredited facilities for
analysis of shared sensitive
data.
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
8
Capability levels – our approach
Level 0 Level 1 Level 2 Level 3
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
9
Background
 Released 2017
 Represents our understanding of policy landscape,
relevant standards and norms
 Draws on DCC experience 2010-15, lessons learned
from earlier CARDIO model
 … and before that ULCC’s DAAT & McGovern &
Kenney’s DPM maturity model
 Draft version community review workshop 2016 (x
12 institutions)
 DCC facilitated use in 4 institutions - Independent
use in at least 4 more in 2017
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
10
Looking ahead…
• Planning for regular (3-yearly?) review cycle
• Stability needed to allow meaningful
comparisons
• How to do those comparisons? Currently only
available via DCC-run audit
• Broader steering group if sufficient interest
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
11
Using RISE
Consider each service element individually
Assess your current capability
Define your target capability
Identify barriers and opportunities
OUTPUTS
• Reassurance that compliance has been achieved
• Gap analysis
• Service development prioritisation
• Fostering links between support departments
• Scoping data publishing platform requirements
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
12
Freely reusable
http://www.dcc.ac.uk/resources/how-guides/RISE
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
13
Tabular format
2018-03-19
CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY
14

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RISE - the DCC's Research Infrastructure Self-Evaluation Framework

  • 1. RISE – the DCC’s Research Infrastructure Self-Evaluation FrameworkKevin Ashley, Angus Whyte, Jonathan Rans Digital Curation Centre www.dcc.ac.uk @kevingashley Kevin.ashley@ed.ac.uk With thanks to other DCC colleagues & all those who helped us develop the framework
  • 2. My home – the DCC • Consultancy • Training • Research • Services • Guidance • Events 2018-03-19CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 2
  • 3. Why do this? • Comparators are useful for service development • Mature service types well-served: • Service models with components • Tools & development guidance • Rigorous peer comparison • Immature service types • case studies if you are lucky • Difficulty finding comparable peers 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 3
  • 4. The DCC response  Ideal model helps us:  Measure maturity  Understand success  Identify needed service components  Allocate resource  Identify how to improve and progress  All general attributes of any capability & maturity model 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 4
  • 5. Institutions diverse in capabilities they need Percentiles 3 % 20 % 77 % Income range percentiles - split into 3 groups across all 161 HEIs Research income % of total 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 5 This shows scale in a single regulatory & funding environment. Others are different
  • 6. Capabilities x 10 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 6
  • 7. Capabilities comprise 1-3 elements (22 in all) Active data management • Scalability and synchronisation • Collaboration support • Security management 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 7
  • 8. Levels of capability Security management Level One Level Two Level Three The service provides authenticated access to storage that is protected from unauthorised data access, and researchers are made aware of procedures for data protection and de-identification. The service provides tools/environments that enable researchers to de- identify, encrypt or control access to data as required. The service provides researchers from across the institution with access to ISO 27001/2 or equivalently accredited facilities for analysis of shared sensitive data. 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 8
  • 9. Capability levels – our approach Level 0 Level 1 Level 2 Level 3 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 9
  • 10. Background  Released 2017  Represents our understanding of policy landscape, relevant standards and norms  Draws on DCC experience 2010-15, lessons learned from earlier CARDIO model  … and before that ULCC’s DAAT & McGovern & Kenney’s DPM maturity model  Draft version community review workshop 2016 (x 12 institutions)  DCC facilitated use in 4 institutions - Independent use in at least 4 more in 2017 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 10
  • 11. Looking ahead… • Planning for regular (3-yearly?) review cycle • Stability needed to allow meaningful comparisons • How to do those comparisons? Currently only available via DCC-run audit • Broader steering group if sufficient interest 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 11
  • 12. Using RISE Consider each service element individually Assess your current capability Define your target capability Identify barriers and opportunities OUTPUTS • Reassurance that compliance has been achieved • Gap analysis • Service development prioritisation • Fostering links between support departments • Scoping data publishing platform requirements 2018-03-19 CODATA/Goettingen symposium; (c) Kevin Ashley; CC-BY 12

Editor's Notes

  1. These figures come from HESA – the higher education statistics authority. Our own survey of UK institutions indicates that there is a huge range in size and research intensity across the board, so when you’re having a discussion about services it’s useful to bear in mind that what is sensible or appropriate in one context might not be in another. Example – automated systems for tracking research outputs.
  2. Levels are cumulative and represent a development progression. However, unlike other models, the ideal end-point is defined by institutional factors rather than automatically sitting at the right-hand end of the scale. In some circumstances, services can be over-developed…