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Discovery: Towards a (meta)data ecology for education and research


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Discovery: Towards a (meta)data ecology for education and research

  1. 1. Towards a (meta)data ecology for UK education and research Joy Palmer, @joypalmer Mimas, University of Manchester
  2. 2. Our business drivers vary and use casesare distinct, but our ultimate aim is thesame.We want our content and servicesto be instrumental in teaching, learningand research.And to achieve this we need to makesure they are discovered…
  3. 3. From ‘infrastructure’ to ‘ecosystem’ …given the paradigms of the web, that aim is most likely to be achieved if content is discoverable through popular search engines as well as through specialised services and aggregations, and if they can be exposed through social platforms ranging from scholarly reference management systems to Facebook and Twitter.
  4. 4. Big Data …and the end of metadata?
  5. 5. Linked Data
  6. 6. …the end of Linked Data?
  7. 7. microdata “it’s not about whether microdata is going to win, but that semantics published along with our html is going to drive new functionality in the applications we use everyday” (Ed Summers, 2012)
  8. 8. Open Data & Metadata A tactical approachOpen metadata creates the opportunity forenhancing impact through the release ofdescriptive data about library, archival andmuseum resources. It allows such data to bemade freely available and innovatively reused toserve researchers, teachers, students, serviceproviders and the wider community in the UK andinternationally.
  9. 9. How do we achieve this?
  10. 10. By driving a shift in ethos to open in institutions, services and funding bodies
  11. 11. And being clear about what makes data ‘open’
  12. 12. Getting the legal stuff right…Your data’s not open unless it has an explicit open licensing statement…
  13. 13. We the people…
  14. 14. In short…• Adopt an ‘open by default’ mindset• All metadata releases should adopt standard open licenses• In the vast majority of cases ODC-PDDL, CC0 are appropriate• Avoid home grown variations
  15. 15. And it means being open to machinesTechnical PrinciplesThe Discovery ecosystem is….. Heterogeneous Resource-orientated (not service) Built on aggregations of metadata Distributed Reliant on persistent global identifiers Striving to work well with global search engines
  16. 16. This is all very well in principle…Openness is a means and not anend…
  17. 17. Open data is of no value tothe ecosystem if it isn’t used
  18. 18. Recasting the value chain New business models New value propositions New paradigms New purpose?
  19. 19. Thanks for listening….