Home > ACErep, Technical consultation > A potential infrastructure (2)

A potential infrastructure (2)

Thanks to Gareth Waller from Jorum who has been in touch to say that there are currently no public APIs available for JorumOpen and no immediate plans to release one.  The only public interfaces at present are:

  • An OAI-PMH target for harvesting metadata records i.e. pulling metadata from JO
  • A SWORD target for depositing METs packages ie pushing content into JO

There is an SRU add on for DSpace but, as Gareth has indicated in his comment on the previous post, it is not enabled due to a bug; it may be enabled in the future if the bug can be fixed.

Rather than SRU, a better way to search JorumOpen will be the new search tool to be launched at the end of the month that will provide a web application to search records from both JorumOpen (DSpace) and JorumUK (intraLibrary) and also provide features such as RSS feeds on search results (I presume this is the tool based on OAI-PMH?)

Wherever possible, Jorum are keen to include the actual resource rather than just metadata record/link to resource in JorumOpen – to allow other users to search on the content of that resource e.g. text in PDF  – which is the approach we have taken with the Unicycle project via bulk upload of IMS.  Whether it will always be appropriate to duplicate resources in this way, however, is still something of a moot point, especially in the context of medical resources where an audit trail/version control might be more of a priority than for Unicycle as flagged up by the MEDEV OOER project.

With this in mind, Gareth has suggested that a better way to integrate with Jorum would be to deposit directly into JorumOpen via SWORD; we could then then use the new search tool for our bespoke portal:

Gareth's suggestion for a modified infrastructure

  1. Gareth Waller
    June 24, 2010 at 11:47 am

    Hi Nick,

    Yes, the Jorum search tool uses OAI-PMH to harvest metadata from repositories (currently JorumOpen and JorumUK) and then index the metadata using Apache SOLR (http://lucene.apache.org/solr/), which provides a high performance searchable cache.


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