Open Access Repository Junction
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Open Access Repository Junction

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Presentation delivered by Theo Andrew at the JISC Deposit Programme Meeting #jiscdepo meeting in Birmingham, 1 March 2011.

Presentation delivered by Theo Andrew at the JISC Deposit Programme Meeting #jiscdepo meeting in Birmingham, 1 March 2011.

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Open Access Repository Junction Open Access Repository Junction Presentation Transcript

  • OARJ Project@ #jiscDEPO programme meeting 1 st March 2011 Theo Andrew Project Manager EDINA
  • Talk outline
    • Aims
    • Background
      • Discovery
      • Delivery
    • Proof-of-concept
    • Demonstrator service
    • Issues & Next steps
  • Aims: assist deposit into multiple existing repository services by developing middleware that will aid both discovery of repository targets and delivery of the content
  • Background
    • Depot (2007/09) - unmediated eprints repo
    • EDINA added a referral service, called Repository Junction, to redirect users to existing IR services.
    • Survived by the OpenDepot.org service run by EDINA.
    • OA-RJ (2009/11) – to expand on the concept of the Repository Junction
    • Initial focus on the discovery aspect; however,
    • Concept of data mining for target repo identification lead to broker service.
  • Discovery: The Junction open DOAR ROAR UKAMF Junction db: Org IDs matched to IRs Named entity recognition WhoIS ORCID Funding codes Other AMFs SOURCES API Known org ID Article XML Known IP location INPUTS Matched repositories
  • The Junction API Suite of three APIs for interacting with the data: /api [primary point of interaction] /cgi/list/ [lists known values - type/content/country/lang/org/net] /cgi/get [used for internal AJAX functions orgs, repos, net] http://oarepojunction.wordpress.com/junction-api/
    • /api can be given a specific locus to deduce repositories (IP address or an ID code) to specify the organisation, or it will deduce a locus based on the calling client.
    • The script can be asked to restrict the returned list by repository type (institutional/learning/..) or accepted content (pre-prints/data/thesis/...)
    • Data is returned in either JSON, Text, or XML formats
  • Consider a complete bipartite graph between 2 sets, where Set A (=3 nodes) passes information to Set B (= 5 nodes) : Set a Set b Total number of edges = 15 Each data provider needs to broker an agreement with every target repository, and each target repository needs to authenticate each data provider - this does not scale
  • Consider adding a central node to connect the sets: Set a Set b Set A (=3 nodes) passes information to central node, Central node passes information to Set B (= 5 nodes), number of edges = 8 In this structure, each party maintains just one relationship with a trusted operator
    • Nodes:
    • 185 repos listed in open DOAR for UK
    • 200+ publishers listed in SHERPA
    • Edges:
    • 37,000 or 385
    • ... what are the Global Figures? Researchers are not confined to the UK borders
  • Proof-of-concept
    • http://oarepojunction.wordpress.com/2011/02/25/proof-of-concept-demonstrator/
  • How a broker model could simplify things: - one consistent deposit process - single sign up for content providers and receivers - building a network of trust Demonstrator service Broker Institutional Repository 1 Institutional Repository 2 Institutional Repository 3
  • Case study 1: multiple authored paper Journal Y Repository 1 Repository 2 Repository 3 Copy A 3 Paper A Copy A 2 Researcher 2 Copy A 1 Researcher 3 Metadata A 2 Metadata A 3 Metadata A 1 Researcher 1
  • Case study 2: Mandated open access Journal Y Paper A Researcher 1 £000s Copy A 1 Copy A 1 Researchers 2 & 3
  • Estimate of the number of broker transferred items during a six month demonstrator service. Data is based upon the number of papers published in journals from the participating NPG portfolio during Jan - June 2010. Data retrieved from PubMed Central and ISI Web of Knowledge. (*Figure rounded down, **Still to be confirmed as a participating institutions). 607 1220 3660 TOTAL 8 17 53 Auckland 41 83 248 Yale** 46 92 275 Cornell 83 166 499 MIT 160 321 962 Oxford 237 476 1429 Cambridge 32 65 194 Edinburgh 50% author participation rate* Participating NPG journals All NPG journals Institutional partner
  • Issues and dependencies
    • Common deposit package for SWORD
    • Missing data – provenance/embargo details/ author affiliations
    • Licensing – content providers and repos
    • Institutional sign-up – federation model?
  • Project Blog: http://oarepojunction.wordpress.com/ Thankyou for listening. Questions?