Data-driven workflows and the art of informational collaboration
Informational collaboration – sharing, aggregating, and analyzing data – drives stewardship at scale. Just ask shared print practitioners.
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Informational collaboration – sharing, aggregating, and analyzing data – drives stewardship at scale. Just ask shared print practitioners.
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Funding and resourcing, technology, staffing, community needs and expectations—the pace of change library leaders now need to navigate and lead their organizations through is nothing short of breathtaking. Trends that …
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Learn from efforts at Monash University Library to reimagine operational structures and service models to scale research support and better align with institutional needs.
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How can libraries develop effective oral history workflows? University of Washington and Montana State University share insights on developing partnerships, and integrating integrating human expertise with emerging technologies to created and preserve cultural narratives,
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If you enjoy a good werewolf story, read on for a description of some resources that will leave you howling for more—all available in WorldCat, of course!
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Why collaborate? Here’s some evidence on why libraries band together to steward their collective print book collection.
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AI can enhance metadata work—but only with care. Learn how libraries can balance innovation with quality and ethical practice.
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Can AI help to manage institutional repository metadata? From improving deposit workflows to cleaning up legacy data, explore how AI might support IRs while keeping human expertise front and center.
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Learn how archives and special collections are exploring using AI responsibly to meet accessibility requirements and improve access to unique resources.
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Facing cataloging backlogs, legacy metadata issues, and language challenges, libraries are exploring how AI may offer practical support—while keeping human expertise central.
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