1. The role of libraries in
data exchange
Susan Reilly, Twitter:@skreilly
IFLA Science & Technology Section, Helsinki, 13th
Aug 2012
2. LIBER & the European Research Infrastructure
Association of European Research Libraries
Our projects:
Content
Europeana Libraries
Europeana Newspapers
Policy
MEDOANET
Infrastructure
APARSEN
AAA Study
ODE
3.
4. Now and Next
• Authentication & authorisation
• New skills
5. The Opportunities for Data Exchange Project
• identify, collate, interpret and deliver evidence of emerging
best practices in sharing, re-using, preserving and citing
data, the drivers for these changes and barriers impeding
progress, in forms suited to each audience
• policy makers, funders, infrastructure operators, data
centres, data providers and users, libraries and publishers
It’s multi-
stakeholder!
6. The Data
Publication Pyramid (1) Data
contained and
explained within
the article
(2) Further data
explanations in
any kind of
supplementary (3) Data
files to articles referenced from
the article and
held in data
centers and
(4) Data
repositories
publications,
describing
available
datasets
(5) Data in
drawers and on
disks at the
institute
7. Implications for libraries
Level of integration Implication for library
Data contained within the article Prepare for adequate preservation
strategies
Data published in supplementary files to Presentation and preservation
articles mechanisms
Persistent link
Datasets referenced from the articles Citability of dataset
Persistent link
Perpetual access to dataset
Data published independently from written Support publication process
publications (“data publication”) Curation of datasets
Metadata and documentation
Data in drawers and on disks at the Engage in data management
institute planning
8. Background
Workshop at LIBER on linking data to publications
Clear need to explore demand and need for new skills
8
9. The Survey
• What is the role of libraries in data exchange?
• In what areas is the demand for support from researchers?
• What skills do libraries need to develop to support researchers in data
exchange?
• How do we develop these skills ?
9
10. The Survey
• Survey sent to circa 800 librarians, 110 respondents
• Also sent to AU/US libraries active in this area
• Seven criteria:
1. Availability
2. Findability
3. Interpretability
4. Reusability
5. Citability
6. Curation
7. Preservation
10
11. The Results
• 81% of respondents see demand for support provision
• Supply is nowhere near matching demand e.g.50% said there was a demand
to support the writing of data management plans, only 13% provide this
support
• Only 32% of libraries believe they have the right skills in place to provide
support (53% working on developing these skills
• The best place for underlying data is in official data repositories and archives
(84%)
11
12.
13. Differences with US/AUS libraries
More
priority
for data More
manage priority
ment for data
plans citation
Agree that
archiving
data is most
in demand
15. The future of data publishing
The best place for underlying data is in official data repositories and archives 84% agree75%
US/AUS
Publications should always contain links to the underlying research data 74% agree
75% US/AUS
Data archives should have a system in place for persistent identifiers that 74% agree
properly support citation of datasets
87.5%
Research journals should have much stricter editorial policies on data 64% agree
availability
25%
Underlying data should be part of the peer review process 54% agree
37.5%
Underlying data should be cited separately in the reference list 46% agree
37.5%
Publishers and editors should only accept in supplements the summary 26% agree
datasets that are of direct relevance to the article
12.5%
There are not sufficient trustworthy data archives available for authors to +/- ¼ agree
deposit their data 24% agree
62.5%
19. What Skills ?
88% of expert libraries see subject expertise as important!
20. Developing Skills
W hich me a sure for de ve loping skills do you conside r
a ppropria te ?
Integrate data management
3%
into professional education
1%
28% Data management courses
27% for librarians as continuing
professional development
Practical literature and
guidelines
N/A
Other (please specify)
41%
Before we get in to the drivers and barriers for data sharing I would like to ‘share’ 2 things about me with you.. First of all, I am a librarian. I work as project officer for LIBER, which is the Association of European Research Libraries. We have 380 member libraries from all over Europe. Our projects really focus on developing the role of the library as part of the Europeana Research Infrastructure and they fall into 3 main categories.
So, waves and surfing are anaologies that are often used when referring to the data deluge and research data sharing. This report ‘Riding the Wave’ which was written by the High Level Expert Group n Scientific Data in october 2010 talks about how Europe can gain from the rising tide of scientific data.
Called for a frameworkk for collaborative data infrastructure to outline how different stakeholders interact with the data sharing system