CLADDIER project fundamentals Citation, Location and Deposition in Discipline and Institutional Repositories Sam Pepler Project Manager BADC CLADDIER workshop,

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Presentation transcript:

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

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)

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

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

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

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.

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

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

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

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

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

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)

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

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

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

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

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.

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.

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.