Presentation on how libraries can support researcher's in making their data open. Presented in UCL on the 20th October 2013

1. “Where do we start?”: opportunities for libraries
to support research data management
Susan Reilly
Projects Manager
LIBER: Ligue des Bibliothèques Européennes de Recherche
UCL, 21 Oct 2013
susan.reilly@kb.nl
@skreilly

2. Contents
 About LIBER
 Opportunties for libraries: the researcher perspective
 Opportunities for libraries: the policy perspective
 Priorities?

3. LIBER: reinventing the library of the future
 Largest network of European reseach libraries: 450 in over 40
countries
Mission:
To provide an information infrastructure to enable research
in LIBER institutions to be world class

4. LIBER & EU Projects
Reshaping
The
research library
Advocacy
Scholarly
Communication
&
Research
Infrastructure

5. Looking at data sharing from the
researcher‘s point of view
“Without the infrastructure
that helps scientists manage
their data in a convenient
and efficient way, no
culture of data sharing will
evolve.”
Stefan Winkler-Nees
(German Research Foundation, DFG)

6. The Data
Publication Pyramid
(2) Further data
explanations in
any kind of
supplementary
files to articles
(4) Data
publications,
describing
available
datasets
(1) Data
contained and
explained within
the article
(3) Data
referenced from
the article and
held in data
centers and
repositories
(5) Data in
drawers and on
disks at the
institute

7. Library support for the researcher
Libraries and data centres must support…
 data as first class research object:
publishing, persistent identification/citation
of datasets
Availability
Findability
 data description, metadata, standards
documentation and retrieval
 proper documentation of data
Interpretability
 long-term data archiving including data
curation and preservation
Re-usability

8. Libraries’ Opportunities
Data Issue:
Libraries and data centres opportunities (Chapter 4):
Availability


Lower barriers to researchers to make their data available.
Integrate data sets into retrieval services.
Findability



Support of persistent identifiers.
Engage in developing common metadescription schemas and common citation practices.
Promote use of common standards and tools among researchers
Interpretability



Support crosslinks between publications and datasets.
Provide and help researchers understand metadescriptions of datasets.
Establish and maintain knowledge base about data and their context.
Re-usability



Curate and preserve datasets.
Archive software needed for re-analysis of data.
Be transparent about conditions under which data sets can be re-used (expert knowledge needed, software needed).
Citability


Engage in establishing uniform data citation standards.
Support and promote persistent identifiers.
Curation/Preservation




Transparency about curation of submitted data.
Promote good data management practice.
Collaborate with data creators
Instruct researchers on discipline specific best practices in data creation (preservation formats, documentation of
experiment,…)

9. Demand for data management support

10. Findability

11. Citability

12. Looking at it from the policy perspective…

13. By Ken Lund (Flickr: Why, Arizona (2)) [CC-BY-SA-2.0
(http://creativecommons.org/licenses

14. Barriers to success of open data policies
Articulate values for
disciplines that you
Help to define
work with but first work for
different own
Develop and embed
on changing yourcommunities
training
culture! programmes
 Cultural differences
 Definition of research data
 Lack of skills/education
Develop and
Engage in policy
 Poorly defined roles and responsibilities
connect development
 Lack of infrastructure
Altmetrics and citation
 Lack of career incentives

15. What should our priorities be?
LIBER ten recommendations:
http://www.libereurope.eu/news/ten-recommendations-for-libraries-to-get-started-with-researchdata-management

16. Get started!

19. Advocate
“Many researchers do not appear to see the value and
benefits of data citation. There is a gap, which could be
filled by libraries, in advocacy for data sharing, the use of
subject specific repositories, and best practice in data
citation. These, if filled, would increase the number of
researchers sharing and reusing data.”
http://www.alliancepermanentaccess.org/wp-content/plugins/download-monitor/downlo

20. 1. Identify & develop new skills

21. What Skills ?

22. Thank you!
 Any questions?
 Find out more at www.libereurope.eu and
www.recodeproject.eu
 Coming soon…FOSTER project to ‘train the trainer’