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Stohn - Promoting Discovery of Institutional Repository Content

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This presentation was provided by Christine Stohn of ExLibris/Proquest during the NISO Virtual Conference held on February 15, 2017, entitled Institutional Repositories: Ensuring Yours is Populated, Useful and Thriving.

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Stohn - Promoting Discovery of Institutional Repository Content

  1. 1. © 2015 Ex Libris | Confidential & Proprietary Christine Stohn Promoting discovery of Institutional Repository content
  2. 2. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary The discovery Landscape – different users, different entry points 2 Aggregations Social Media Web search engines Websites Library Discovery A&I databases
  3. 3. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Institutional repositories and Discovery - examples • > 500 Institutional repositories indexed IR data in library discovery: Primo and summon • Articles • Research data • Digital photographs • Project reports and data • Audio-visual material • Manuscripts • Thesis and dissertations • Archival material • Rare books • … Many different material and content types 3
  4. 4. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Library discovery example: A transcript in summon 4
  5. 5. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Library discovery example: A research data set in Primo 5
  6. 6. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Library discovery example: A research data set in Primo 6
  7. 7. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Open access – links to the free version of an article in the IR 7
  8. 8. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary 8 Open access – links to the free version of an article in the IR
  9. 9. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Institutional Repositories and Discovery - examples PubMed LinkOut – upload option for adding links to IRs 9 https://www.ncbi.nlm.nih.gov/projects/linkout/doc/nonbiblin kout.html
  10. 10. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Pubmed LinkOut Example 10
  11. 11. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Pubmed LinkOut Example 11
  12. 12. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Metadata – a key discovery factor • Metadata quality and depth • Reliability and consistency • Use of identifiers and standard formats for data and harvesting Important • No or incomplete and abbreviated titles • Missing author/creator • Inconsistent use of field tags • No clear or inconsistent indication of content type • No identifiers • Standard and version not clear (e.g. author manuscript vs. peer reviewed) • Access information incorrect, leading to paywalls Some common problems with IR metadata 12
  13. 13. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Use of repository data is a matter of trust • The data can be found on the Internet • The data are accessible (clear rights and licences) • The data are in a usable format • The data are reliable • The data are identified in a unique and persistent way so that they can be referred to Data Seal of Approval assessment: 13 http://www.datasealofapproval.org/en/assessment/
  14. 14. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Discovery beyond searching • Citation trails • Topic trails • Recommender systems • Supplementary material • … Data networks and connections: Exploration and learning 14 Use of common identifiers and good metadata is essential for exploration
  15. 15. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Exploration: A citation trail 15
  16. 16. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary 16 Exploration: A citation trail
  17. 17. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary 17 Exploration: A citation trail
  18. 18. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary 18 Exploration: A citation trail
  19. 19. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Linked open data URIs, RDF, RESTful APIs … 19 http://lod-cloud.net/
  20. 20. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Discovery entry points – not end points 20 Aggregations Social Media Web search engines Websites Library Discovery A&I databases
  21. 21. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Discovery entry points – not end points 21 Aggregations Social Media Web search engines Websites Library Discovery A&I databases
  22. 22. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris | Confidential & Proprietary Summary • Wide distribution of IR data leads to discovery and is desirable for all stakeholders • Standards and use of widely accepted formats are essential (OAI-PMH, NISO ResourceSync, NISO ODI and ALI, Identifiers (DOI, ORCiD), Dublin Core, BibFrame, MARC, NISO JATS …) • Don’t just think searching, think also linking, exploration, connecting content to the semantic web 22
  23. 23. © 2015 Ex Libris | Confidential & Proprietary THANK YOU christine.Stohn@exlibrisgroup.com

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