Aggregation as Tactic
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Presented by Peter Burnhill and Stuart Macdonald at CERN Workshop on Innovations in Scholarly Communication (OAI7), Geneva Switzerland, 23 June 2011.
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Aggregation as Tactic
- 1. ‘ aggregation as a tactic’ - to support discovery Peter Burnhill & Stuart Macdonald EDINA national data centre University of Edinburgh CERN workshop on Innovations in Scholarly Communication (OAI7) University of Geneva, 23 June 2011
- 10. The treasures are on show inside, but … Centre Pompidou
- 13. [email_address] [email_address] http:// edina.ac.uk / Repository Fringe 2011 – call for participants: http://www.repositoryfringe.org/ THANK YOU CC BY-NC-ND 2.0 - image by enggul courtesy of Flickr – http://www.flickr.com/photos/enggul/2361808668 /
Hinweis der Redaktion
- Based on a presentation by Peter Burnhill at launch of Discovery – “a UK metadata ecology for UK education and research” in May 2011 JISC consolidation of service
- Creating ‘new or novel knowledge products, increasing serendipity, cross-fertilisation of resources a metadata ecology for UK education and research No one size fits all solutions – mixed economies (technical and subject expertise, infrastructures, cultural differences across domains and organisations)
- A key concept in the RDTF Vision is aggregation , directly or represented through metadata: to unlock riches held in our organisations, typically digital and online. This recognises the added value in assembly for tactical purpose – to improve ‘discoverability’. The ultimate aim being to improve access for research and educational purpose: for researchers, students and their teachers, - with few barriers for potential take-up beyond that Promiscuous metadata, washing your dirty metadata in public, making sure your metadata is well dressed !!! It’s very easy to publish in the web. Maximising the full potential of that content is another matter entirely.
- the audience for any given work, service or aggregation is now machine as well as human Make content easier to use in global informaiton ecosystem, reducing technical and licensing barriers, potential to create new knowledge products or services, foster social innovation, Let your metadata speak for you when you have no one to speak for you, Removeal of duplicate of effort
- The process of disintermediation
- Technical support provided by EDINA SDSS Expert Group in Identity and Access Management Keep at a strategic level rather than diving into detailed issues and concerns Orientate towards opportunities and feasible steps, however small those might be.
- Restricted outside JiscMedia Hub and Unrestricted content outside JISC Media Hub, collections inside JISC Media Hub available under subscription
- SUNCAT – getting permission from contributing libraries – make data available in ODC PDDL Carmichael Watson – gaelic folklorist – digitising his greatest work Carmina Gadelica – an anthology of hebridean charms, hymns, songs, poetry
- .Aggregation should be regarded as intervention to achieve value added improvement and context as aid to discoverability. Among their recommendations is that “such Aggregations should have supported APIs which are attractive to and convenient for developers”. Interpretation of other recommendations suggest that the Framework should: (a) assist Aggregators (extant and as funded aggregation projects) to demonstrate value to Content Providers were they to progressively follow each of the four Linked Data steps (b) encourage Content Providers to provide a semantic sitemap prior data aggregation, e.g. publication of RDF schema of underlying database, from a registry of recommended schemas provided as guidance by Aggregation services. http://www.w3.org/DesignIssues/LinkedData
- Multi-part work – data is meaningless without ancillary material (i.e. provides both context & meaning) – ancillary material in machine-readable formats Publish your DDI compliant XML codebook.
- An extension of one of Tim O’Reilly’s 7 principles of Web 2.0 (2005) – Harnessing Collective Intelligence Bearing mind that there is a cost to keeping data closed !!! Open data are really open when they can be ‘always’ reused!