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Stohn - Promoting Discovery of Institutional Repository Content
The document discusses the discovery landscape of institutional repository (IR) content, highlighting various material types and their indexing in library discovery systems like Primo and Summon. It emphasizes the importance of metadata quality, identifier standards, and the role of open access in enhancing data visibility and usability. Additionally, it advocates for a broader approach to discovery beyond simple searching, incorporating linking and exploration through citation trails and data networks.
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Stohn - Promoting Discovery of Institutional Repository Content
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- 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. © 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. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Library discovery example: A transcript in summon 4
- 5. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Library discovery example: A research data set in Primo 5
- 6. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Library discovery example: A research data set in Primo 6
- 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. © 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. © 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. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Pubmed LinkOut Example 10
- 11. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Pubmed LinkOut Example 11
- 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. © 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. © 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. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Exploration: A citation trail 15
- 16. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary 16 Exploration: A citation trail
- 17. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary 17 Exploration: A citation trail
- 18. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary 18 Exploration: A citation trail
- 19. © 2015 Ex Libris | Confidential & Proprietary© 2015 Ex Libris| Confidential & Proprietary Linked open data URIs, RDF, RESTful APIs … 19 http://lod-cloud.net/
- 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. © 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. © 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
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