Researching Researchers: Developing Evidence-Based Strategy for Improved Discovery and Access
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Leading libraries, publishers, and vendors regularly study the practices and needs of academics and students, in order to serve them better. This presentation addresses today’s search behaviors, emerging discovery forms, and access challenges, reviewing strategies for improving discovery and access that result from this research.
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Researching Researchers: Developing Evidence-Based Strategy for Improved Discovery and Access
- 1. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Researching Researchers Developing Evidence-Based Strategy for Improved Discovery and Access Lettie Y. Conrad ER&L, 2016
- 2. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne User ExperienceResearcher
- 3. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Researcher experience – discovery • Search begins with mainstream web • Advanced users shift to specialty databases • Library discovery is for “known items”
- 4. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
- 5. Mike Bostok, “Sanky Diagrams from Excel,” accessed on February 9, 2013: http://ramblings.mcpher.com/Home/excelquirks/d3/sankey. Researcher experience – workflow
- 6. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne • Query trends • Higher use of open-web search than reported • Validating authenticity • Browser trends • Retrieval trends • 100% manually managed citations • Low use of hyperlinked references • Few ‘version of record’ checks Researcher experience – workflow
- 7. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Scholarly apps & tools
- 8. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Personal digital libraries • Managing citations • Organizing documents • Storing documents • Search
- 9. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Beyond search • Email alerts • Following citations • Human recommendations • Machine recommendations / relatedness
- 10. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Recommendations as discovery 90% faculty 78% students Online recommendations are about as useful than those I receive from peers
- 11. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Why does serendipity matter? • Students and researchers re-frame their information need as they go • Some useful information discoveries are unintentional • People like serendipity: it delights users Designing for serendipity may be the holy grail of the search experience. Russell-Rose, T., Tate, T. (2013). Designing the Search Experience: The Information Architecture of Discovery. Waltham, MA: Morgan Kaufmann.
- 12. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Don’t forget the data! Bounce rate Pages / visit Visit length Open web 85% 1 0:40 Library 29% 4 4:88 Academic 26% 6 3:02
- 13. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne SAGE’s discovery strategy • Channels • Library • Open web • Social media • Academic • SAGE universe
- 14. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne SAGE White papers Expecting the Unexpected Lettie Conrad & Alan Maloney http://bit.ly/23Z99d4
- 15. Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne Thank you! Lettie Y. Conrad Lettie.Conrad@sagepub.com @lyconrad