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The role of libraries in
data exchange

Susan Reilly, Twitter:@skreilly
IFLA Science & Technology Section, Helsinki, 13th
Aug 2012
LIBER & the European Research Infrastructure

Association of European Research Libraries
    Our projects:
  Content
       Europeana Libraries
       Europeana Newspapers
  Policy
       MEDOANET
  Infrastructure
       APARSEN
       AAA Study
       ODE
Now and Next

• Authentication & authorisation
• New skills
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!
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
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
Background




      Workshop at LIBER on linking data to publications
      Clear need to explore demand and need for new skills




                                                              8
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
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
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
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
Current Practices
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%
Findability
Citability
Skills
What Skills ?


88% of expert libraries see subject expertise as important!
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%
Ready to ride the wave… ?

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The role of libraries in data exchange

  • 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%
  • 21. Ready to ride the wave… ?

Hinweis der Redaktion

  1. 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.
  2. 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.
  3. Called for a frameworkk for collaborative data infrastructure to outline how different stakeholders interact with the data sharing system