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LEARN Final Conference: Tutorial Group | Implementing the LEARN RDM Toolkit
1. UCL LIBRARY SERVICES
How to implement the LEARN
Toolkit and Executive Briefing
Dr Paul Ayris
Pro-Vice-Provost (UCL Library Services)
Co-Chair of the INFO LERU community
Adviser to the LIBER Board
Chair Jisc Content Strategy Group
e-mail: p.ayris@ucl.ac.uk
2. UCL LIBRARY SERVICES
Content
LEARN
Project Objectives
LEARN Toolkit
LEARN Executive Briefing
and Recommendations
Conclusions
2
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL
3. UCL LIBRARY SERVICES
LEARN
5 partners
UCL (University College
London) – lead partner
University of Barcelona
University of Vienna
LIBER
ECLAC – UN Commission
for Latin America and the
Caribbean
Started in June 2015; runs
for 24 months
€497,000 budget
100% funded
3
Wilkins Building, UCL, 1826
4. UCL LIBRARY SERVICES
LEARN Deliverables
Model Research Data
Management Policy
Fed by a study of RDM
policies and input from
Workshop attenders
Toolkit to support
implementation
Issues identified in
Workshops and in
literature
Surveys and self
assessment tools
Executive Briefing (in six
languages) 4
Wilkins Building, UCL, 1826
5. UCL LIBRARY SERVICES
What is the problem LEARN seeks to
address?
How prepared
are you and
your institution
for RDM?
5
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL
6. UCL LIBRARY SERVICES
UCL survey by Research Data Advocacy
Officer
130 research departments, institutes, centres and units
represented in survey
Response rate – 306 completed surveys out of 619
Respondents
18% early career researchers
39% experienced researchers
30% research students
6
7. UCL LIBRARY SERVICES
45% of respondents used a personal computer for storage
Choices included Cloud services; others used paper...
Central UCL facility used by only 5% 7
17
196
130 116
145
112
64 60
22
178
112
109 122 79
36
21 21
19
105
68
50
94
45
50
22 22
29
0
50
100
150
200
250
300
350
400
External hard
drive or USB
stick
Hard drive of
personal PC
or laptop
Cloud service
(e.g.
Dropbox,
Google Docs,
iCloud)
Shared drive /
UCL server
Hard drive of
UCL PC or
laptop
On paper, on
UCL
premises
On paper,
off-site
Hard drive of
instrument /
sensor
Institutional
repository
(e.g.
Research
Data Storage;
Discovery)
for long-term archiving
to back them up
while working on them
Qu.34 In your most recent project, where did you keep your data? (433 respondents; multiple choice)
8. UCL LIBRARY SERVICES
8
20
29
30
33
49
52
57
74
84
89
94
111
143
175
0 50 100 150 200
Other
Commercial questions related to your data
No help needed
Citing data
Ethical questions related to your data
Finding data and publications to re-use
Creating metadata
Legal questions related to your data
Sharing data
Open Access to your publications
Project budget and costing data management
Storage & preservation of data (MOSTLY personal
and sensitive)
Data Management Plans
Storage & preservation of data (NOT personal or
sensitive)
Qu.64 Would you be interested in some help with data management? Please tick up to FIVE
preferred elements from the list below. (308 respondents; multiple choice)
9. UCL LIBRARY SERVICES
9
Beginning of the
project ("very early on",
"straightaway", "pre-
protocol", "at the outset",
etc.)
51%
"Always" ("all
the time",
"throughout")
16%
Project development ("proposal writing", "for
ethical review", "planning", etc.)
14%
Before or after "data collection"
("questionnaire design", "fieldwork
preparation", etc.)
4%
During the project ("periodically",
"halfway through", "1st year of PhD")
4%
"Never"
4%
"Late" / "too late"
2%
End of the project ("at the
end", "towards the end")
1%
Project completion ("ready
for publication", "database
completion")
1%
"Ad-hoc"
1%
When a
problem
occurred
0,5%
"Not until I took
this survey"
0,5%
Qu.61 At what stage of the project did you think about data management? (217
respondents; free text)
10. UCL LIBRARY SERVICES
Content
LEARN
Project Objectives
LEARN Toolkit
LEARN Executive Briefing
and Recommendations
Conclusions
10
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL
11. UCL LIBRARY SERVICES
23 chapters of Best
Practice Case Studies
in 8 sections
http://learn-
rdm.eu/en/about/
Policy and Leadership
Advocacy
Subject approaches
Open Data
Research Data
Infrastructure
Costs
Roles, Responsibilities,
Skills
Tool development
11
13. UCL LIBRARY SERVICES
Case Study 18: Paul Ayris & Ignasi Labastida:
Training Early Career Researchers
13
LERU (League of
European Research
Universities) held
week-long Doctoral
Summer School in
July 2016 on
research data
UCL (University
College London)
has begun a
Training Programme
with the Doctoral
School
WHO Postgrad/PhD Senior Researcher Librarian Data Scientist
WHEN Early stages of
postgraduate study
As needed, or at
beginning of research
project/proposal state
CPD for subject
librarians/during
library education
Discipline-specific
academic courses
(doctoral)/CPD
WHAT Basics of data
management
practice, FAIR
principles, data
citation, data
evaluation.
Competence in legal
and ethical issues.
Training on discipline-
specific data
management
practices; an
understanding of the
FAIR principles; how
to write a data
management plan
(tailored as necessary
to funder
requirements), data
reuse skills.
Competence in legal
and ethical issues.
Data curation. An
understanding of the
FAIR principles.
Some disciplinary-
specific e-research
methods (TDM)/data
collection skills, IT
skills. Competence in
legal and ethical
issues
Discipline-specific
skills for data
management/
exploitation/
interoperability. An
understanding of
the FAIR principles.
Competence in
legal and ethical
issues
HOW Credited models Practical training Accredited
CPD/Professional
courses
Professional
(academic) courses
and accredited
CPD
14. UCL LIBRARY SERVICES
Case Study 23:
Paul Ayris & Ignasi
Labastida: Surveying your
level of preparation for
research data management
13 Questions
Answers Red, Amber,
Green (RAG)
Score reveals your level
of preparation
Survey can be taken
iteratively to show
progress
350 responses (Mar17) 14
16. UCL LIBRARY SERVICES
Case Study 22:
Fernando-Ariel López:
Developing a Data Management Plan:
a Case Study from Argentina
16
17. UCL LIBRARY SERVICES
Main elements of an RDM Policy:
Identify what questions the policy is meant to answer and who
owns the policy
1. Preamble, setting policy statements into a local context
2. Scope of the policy – who it covers and how it deals with current
legal commitments
3. Intellectual Property Rights
4. Handling research data – curation, destruction,
17
18. UCL LIBRARY SERVICES
Main elements of an RDM Policy:
5. Responsibilities, Rights, Duties
6. Review period for the policy
Annex of appropriate definitions to help with policy
development
18
19. UCL LIBRARY SERVICES
Palo Budroni and the University of Vienna:
LEARN Model RDM Policy
(drawn from evaluation of 20 European policies)
19
20. UCL LIBRARY SERVICES
Content
LEARN
Project Objectives
LEARN Toolkit
LEARN Executive Briefing
and Recommendations
Conclusions
20
Plaster Relief by John Flaxman,
Flaxman Gallery, UCL
21. UCL LIBRARY SERVICES
Executive Briefing in 6 languages which presents strategic
issues for decision makers
Presents the RDM challenge, Solutions, the need for an
RDM Policy, the benefits of FAIR data, the requirement for
RDM stewardship, infrastructure and training and RDM
funding needs
21
22. UCL LIBRARY SERVICES
20 Best Practice Recommendations
20 Recommendations derived from the RDM community
attending LEARN Workshops
Policy and Leadership
Open Data
Advocacy
Costs
Roles, Responsibilities and Skills
22
23. UCL LIBRARY SERVICES
Conclusions
Data-driven research
changing the way
research is undertaken
LEARN has provided
Model RDM policy
Exemplar case studies
Executive Briefings and
Recommendations
Self-assessment survey
and KPIs
LEARN will help deliver
infrastructure for data-
driven Scholarship