Rediscoverying discovery: three general examples
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The document discusses the effects of the pandemic on library services, emphasizing the need for a holistic online experience that separates libraries as services from physical buildings. It highlights the importance of supporting research through enhanced collaboration and discoverability of research outputs. Additionally, it focuses on optimizing library collections and services against specific goals, advocating for a data-driven approach to decision-making in library discovery processes.
Rediscoverying discovery: three general examples
- 3. Three pandemic effects … • Online a holistic online experience • On mission sharp focus on alignment with evolving institutional priorities • Optimize optimizing services and collections against particular goals Full library discovery D2D2D Discoverability of institutional assets
- 4. 1. A holistic online experience? The new target. • Final recognition of library (as a service) separate from the library (as a building)? • Deliver full library experience online? • consultation and expertise? • Substitute for face to face interactions that now support good working relationships? • integrate and present information services which go beyond the locally acquired collection (facilitated, collective)? • deliver efficiently into the learning process (LMS)? • richer interaction and programming? • personal interactions (CRM, profile, …)? • in the flow and social …
- 5. A new relationship to collections: facilitated, collective, delivered …. • Literature search (some locally owned) • Resource guides • Open access, OER, … • Google Scholar, Meta, …. • Demand driven • Spot acquisitions • Smart fulfilment Then: careful construction of a locally acquired collection. Now: optimally satisfy research and learning needs from a facilitated network of resources (local, collaborative, open, commercial, etc.).
- 6. Full library discovery … The library experience Website (events, …) Expertise Facilitated collection Acquired library collection
- 8. On mission: supporting research enterprise • Pandemic will have long lasting impact on research culture • Short circuiting processes and practices to respond urgently • Collaboration across disciplines, organizations, countries • Urgency around reporting results • Greater use of open channels • Concern about assessing validity and relevance • Stronger desire to showcase expertise and potential contributions – research profiles, etc. Research libraries will more purposefully partner to curate, manage and make more discoverable research outputs like preprints and research data.
- 9. Discoverability of university research outputs and expertise Inside out library/collections
- 10. 3. Optimize … against particular goals • Collection examples • Value (acquire what is needed, use what is acquired) • Open • Curricular support • Regional/local • Collaboration • Plural (respect/represent communities of interest) Increased focus on decision support (dashboard)
- 11. Optimize: discovery to delivery to dashboard: D2D2D • Operationalizing the Collective Collection - BTAA • Discovery is part of a complex ecosystem • Recommend (high level) .. • Optimal distribution of collections • Efficient network fulfilment • Systemwide awareness • Data driven .. • Discovery/ILL/acquisitions/ …. • Shared print, digitization, specialization • ‘Dashboard’ • Aggregation of data to drive decisions
- 12. Discovery choices will be made in data-driven environment that they help shape and are shaped by. Collective, facilitated, fluid, …..
- 13. Rediscovering discovery: three examples Full library discovery D2D2D Discoverability Thank you, LorcanD, OCLC