CLADDIER project fundamentals

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CLADDIER project fundamentals

• Citation, Location and Deposition in Discipline
  and Institutional Repositories
• Sam Pepler
• Project Manager
• BADC
• CLADDIER workshop, Chilworth, Southampton, UK
• 15th May 2007

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People involved

• Bryan Lawrence (PI, BADC)
• Sam Pepler (Project Manager, BADC)
• Sue Latham (BADC)
• Pauline Simpson (NOCS)
• Jessie Hey (University of Southampton)
• Brian Matthews (CCLRC)

• Catherine Jones (CCLRC)
• Katie Portwin (Contractor, CCLRC)
• Shoaib Sufi (CCLRC)
• Kevin ONeil (CCLRC)
• Katherine Bouton (Reading, NCAS)

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Outline

• This talk is to set the background to today's
  presentations
• Project aims and background
• Starting point and approach
• How the project relates to this workshop

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Outline

• This talk is to set the background to today's
  presentations
• Project aims and background
• Starting point and approach
• How the project relates to this workshop

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Funding

• This work is primarily funded via a JISC grant,
  through the Digital Repositories programme
• It is also funded by
• CCLRC library funding
• NCAS/BADC funding

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CLADDIER Aims

• To provide mechanics for citing data compatible
  with citing papers
• To provide a mechanism for inter-repositories
  communication of citation and reference
  information
• To report on the issues these mechanisms raise

A practical look at citation of data and how
repositories could communicate citation
information.
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Partners

• NCAS/BADC The NERC designated data centre for
  atmospheric science
• NOCS/e-Prints Soton An institutional repository
  for Southampton University
• CCLRC/ePubs An institutional repository for
  CCLRC BADC is hosted by CCLRC
• NCAS/Reading NCAS is a distributed centre.
  Reading are going to test CLADDIER products on
  active researchers

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Timing

• Started July 2005
• Original finish date June 2007
• Extended to early Autumn 2007
• To do
• Citation ping mechanism
• User testing
• Writing up

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Outline

• This talk is to set the background to today's
  presentations
• Project aims and background
• Starting point and approach
• How the project relates to this workshop

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Overall approach

• Emphasis is on generating a light-weight solution
  for sharing citation information. Develop
  protocols. No monoliths.
• In scope
• Tailor IRs and BADC systems to include and
  provide citation information
• Development of data/document discovery service
• Investigation of interchange formats.
  Configuration of OAI servers to harvest these
  formats
• Out of scope
• Complete population of citation databases in
  repositories
• Installation of software outside of CLADDIER
  project partner institutes
• Quality and quantity of records harvested
• IPR issues

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Joanna is not going to mention the epubs
repository in her citation.
Practical approach. How do I get there from here?
Can you cite data and papers in the same list? At
what level are they equivalent?
How is citation info stored in repositories?
Does Joanna know how to cite data in her paper?
Does Joanna want to cite data in her paper?
What are Data Y and Data X as they exist at BADC?
They may be bits of datasets.
Does Joanna think the BADC is going to store Data
Y long enough to make it citable?
Is the information needed to cite a dataset there?
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Citation and linking in repositories

• Inclusion of structures for references in
  repositories
• Add some test references to papers and dataset
• Test systems developed by active scientists
• Construct a citation ping protocol
• A simple mechanism to push citation information
  between repositories
• Recommendations for data/publication linkage
  (based on lessons learned, and a review of the
  literature)

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Examine data publication issues

• Discussion of data citation, with real dataset
  examples. Asking scientists and data providers
  what and how they would like to cite data.
• Analysis of the conceptual models from academic
  publishing and data centres. Is a dataset
  equivalent to a paper?
• Examine data publication methods and issues. Peer
  review of data.
• Test systems developed by active scientists.
• Discuss issues with the community.
• A workshop disseminating information about the
  project will be held for the environmental
  science community
• User Experience of the CLADDIER System (written
  by active environmental scientists based on their
  experiences)
• Methodologies and Practices for Data Publication

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Discovery Service

• Produce a data/document discovery portal. This
  enables examination of data and papers as peers.
• This is an example of repository communication.
• Analysis of the conceptual models from academic
  publishing and data centres. Is a dataset
  equivalent to a paper?
• OAI-PMH interfaces for the three repositories
• Light weight portal software CLADDIER discovery
  service

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Deliverables

• OAI-PMH interfaces for the three repositories
• Light weight portal software CLADDIER discovery
  service
• A simple mechanism to push citation information
  between repositories
• A workshop disseminating information about the
  project will be held for the environmental
  science community
• User Experience of the CLADDIER System (written
  by active environmental scientists based on their
  experiences)
• Identifier Migration Issues for Repositories
• Recommendations for data/publication linkage
  (based on lessons learned, and a review of the
  literature)
• Methodologies and Practices for Data Publication

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Outline

• This talk is to set the background to today's
  presentations
• Project aims and background
• Starting point and approach
• How the project relates to this workshop

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This workshop

• Discussion of data publication and citation.
• Feedback from the workshop will help us write our
  data publication report.
• An opportunity to introduce data publication
  ideas and engage the community.

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OJIMS

• A project outcome
• OJIMS is a project between the RMetS and the BADC
  to try and introduce peer-review to data in the
  form of an overlay journal.

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Big issues

• What information the repositories lack.
• What data would researchers like to cite.
• How are datasets defined in data centres.
• Data citation and citation standards in scholarly
  works.
• How reference information is stored in
  repositories.
• How do you see institutional repositories working
  with data centres in the future.
• What does peer review of data mean is it needed.