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From cataloguing to digital curation:
the role of libraries in data exchange

Susan Reilly, Twitter:@skreilly
iPRES, Toronto, 4th Oct 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
                                                 mechanisms
articles
                                                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
                                 … and the results




                                                           10
dimland.blogspot.com
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
No preservation strategies!
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%
Citability
Skills
What are we good at?
What Skills ?


88% of expert libraries see subject expertise as important!
Developing Skills


           W hic h me a s ure fo r d e v e lo p ing s k ills d o y o u c o ns id e r
                                    a p p ro p ria 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%
1 year later

• Sharing experience
  • Developing policy
  • Establising repositories
  • Delivering training
  • Prioritising skills
  • Engaging in the broader
  dialogue
Now & Next

• Advocate (advocate, advocate) for and help to develop
  digital preservation policies within own institutions
• Put strategies/infrastructures in place to support digital
  preservation
• Invest in workforce development and engage with other
  stakeholders to identify skills needed
• Help to support/educate researchers to curate data
• Just do it!
http://www.libereurope.eu/news/ten-recommendations-for-libraries-to-get-started-with-research-data-
management
Thank you

Ode:
 http://www.alliancepermanentaccess.org/index.php/communi
 ty/current-projects/ode/

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From metadata to data curation: the role of libraries in data exchange

  • 1. From cataloguing to digital curation: the role of libraries in data exchange Susan Reilly, Twitter:@skreilly iPRES, Toronto, 4th Oct 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 mechanisms articles  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 … and the results 10
  • 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
  • 16. 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%
  • 17.
  • 18.
  • 21. What are we good at?
  • 22. What Skills ? 88% of expert libraries see subject expertise as important!
  • 23. Developing Skills W hic h me a s ure fo r d e v e lo p ing s k ills d o y o u c o ns id e r a p p ro p ria 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%
  • 24. 1 year later • Sharing experience • Developing policy • Establising repositories • Delivering training • Prioritising skills • Engaging in the broader dialogue
  • 25. Now & Next • Advocate (advocate, advocate) for and help to develop digital preservation policies within own institutions • Put strategies/infrastructures in place to support digital preservation • Invest in workforce development and engage with other stakeholders to identify skills needed • Help to support/educate researchers to curate data • Just do it!
  • 27.