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Benchmark Statistics Service BEST

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Australian Partnership for Sustainable Repositories. What are repository statistics? ... Integration with other systems (ORCA, AONS) Use of OpenURL ... – PowerPoint PPT presentation

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Title: Benchmark Statistics Service BEST


1
Benchmark Statistics Service(BEST)
  • Whats going on with Australian repositories?

2
What are repository statistics?
3
Who cares?
  • Policy-makers and meta-researchers
  • What products of research funding appear in
    Australian repositories, and how are they used?
    Gaps, growth areas, hot topics etc.
  • Repository managers and administrators
  • How do the contents and usage of my repository
    compare with others?
  • Authors, depositors, users
  • Item/author usage, deposit patterns, etc.

4
All repositories can tell you
What theyve got
5
Many also show
How theyre used
6
But how does this
Compare with this?
7
At a grand scale
  • Numerous discovery services and directories
    (OpenDOAR, OAI-ster, Repository 66)
  • Also some aggregators of content information
    (ROAR)
  • Many industry-specific standards, followed to
    some extent by some of community (OAI-PMH, SUSHI,
    authority lists)

8
At a grand scale
  • Other relevant statistics projects
  • JISC IRS has examined ways of using OAI-PMH to
    harvest event information, and has recently
    developed IRStats, a package to process EPrints
    and DSpace logs at the repository level.
  • MESUR and precursor activities have examined
    aggregation using link servers.

9
Whats missing
  • The ability to combine and compare repository
    usage statistics across Aust. repositories.
  • Broadly applicable standards for defining and
    representing contents and events
  • Means of adjusting for variation between
    repositories, communities, disciplines,
    industries
  • Service for harvesting, aggregating and
    presenting repository statistics

10
Whats the approach?
  • Short project to design pilot service,
    demonstrating the possibilities of aggregated
    usage statistics
  • Limited participants in first round primarily
    research institutions
  • Build on existing work (IRS, MESUR, ROAR) and
    standards (DC, METS, OAI-PMH)

11
Whats the approach?
  • Work with related groups (MACAR, PILIN, People
    Australia)
  • Interoperable (use OAI-PMH software, platform
    and repository agnostic)
  • Extensible (future needs of new users, other
    repository types, new applications)

12
Steps to an aggregator service
  • Identify a group of repositories for pilot
  • Identify priority use cases
  • Define scope, guiding principles, needs
  • Define data elements, schema
  • Assess and build repositories ability to expose
    standard reports as defined
  • Design and build aggregator
  • Present to users
  • Feedback, refine, extend

13
Future possibilities
  • Integration with other systems (ORCA, AONS)
  • Use of OpenURL
  • Alternative to citation indices for assessment of
    research impact
  • Examine user behaviour threads, use of related
    subject/author links
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