Evolving Roles in Scholarly Communications

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Evolving Roles in Scholarly Communications Susan Reilly, Twitter:@skreilly APA, Frascati, 7th Nov, 2012

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ODE WP4 presentation by Susan Reilly at APA 2012 on the 7th of September 2012 in Frascati. Looks at the role of libraries in data management.

Transcript of Evolving Roles in Scholarly Communications

Page 1: Evolving Roles in Scholarly Communications

Evolving Roles in Scholarly

Communications

Susan Reilly, Twitter:@skreilly

APA, Frascati, 7th Nov, 2012

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From this…

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Our work in ODE

To consider the impact that data sharing, re-use and preservation is having on scholarly

communication…

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Step 1: Explore the integration of data & publications

• 3 stakeholder perspectives:• Researchers• Publishers• Libraries

• How is data linked to publications?• What are the challenges?• Where are the opportunities?

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(1) Data contained and

explained within the article

(2) Further data explanations in

any kind of supplementary files to articles

(3) Data referenced from the article and

held in data centers and repositories

(4) Data publications, describing available datasets

(5) Data in drawers and on

disks at the institute

The Data Publication Pyramid

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Rebuilding the pyramid: implications for libraries

Level of integration Implication for library

Data contained within the article

Data published in supplementary files to articles

Datasets referenced from the articles

Data published independently from written publications (“data publication”)

Data in drawers and on disks at the institute

Prepare for adequate preservation strategies

Presentation and preservation mechanisms

Persistent link

Citability of dataset Persistent link Perpetual access to dataset

Support publication process Curation of datasets Metadata and documentation

Engage in data management planning

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Step 2: define best practice in citability

• Publishers need to provide guidance for authors and referees on citation of data

• Citations with persistent identifiers should be listed in the references/bibliography to enable tracking of citation metrics

• Liaison roles could help to bridge gaps and foster understanding between different communities

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Step 3: define roles

•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 ?

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The 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

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Setting the scene

• Data sets will become separately citable items, supported by their own citation framework

• Underlying data will increasingly become an integrated part of enriched articles via special viewers, pointers and interactive pdf’s

• The best place for underlying data is in official data repositories and archives

• There are not sufficient trustworthy data archives available for authors to deposit their data

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Current Practices

6% in 2009

15% in 2009

3% in 2009?!

14% in 2009

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No preservation strategies!

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Differences with US/AUS libraries

More priority for data management plans

More priority for data citation

Agree that archiving data is most in demand

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Citability

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Strategies

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Skills

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What Skills?

88% of expert libraries see subject expertise as important!

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Developing Skills

Which measure for developing skills do you consider appropriate?

28%

41%

27%

1%

3% Integrate data managementinto professional education

Data management coursesfor librarians as continuingprofessional development

Practical literature andguidelines

N/A

Other (please specify)

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Epilogue

•Developing policy•Establising repositories•Delivering training•Prioritising skills•Engaging in the broader dialogue

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Conclusions

• Libraries mobilising to meet demand • Need to work together and in consultation with other

stakeholders to develop new skill sets• Gap in advocacy for data sharing, the use of subject specific

repositories, and best practice in data• Researchers will need training and guidance on how to make

their data citable and on how to cite data in order to ensure that they can fully benefit from a future where data may become a publication on its own right.