Steps Towards Building Library AI Infrastructures and Programs: Research Data Repositories, Scholarly Research Ecosystems and AI Scaffolding

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dc.contributor.authorUzwyshyn, Raymond
dc.date.accessioned2022-08-08T14:30:44Z
dc.date.available2022-08-08T14:30:44Z
dc.date.issued2022-07-21
dc.description.abstractThis presentation overviews methodologies and infrastructures for building new AI services within the ‘third interdisciplinary space’ of the academic library. A library is a very suitable space to enable these new ‘algorithmic literacy’ services. This work utilizes the pragmatic steps taken by Texas State University Libraries to set up good foundations. Data-centred steps for setting up digital scholarly research ecosystems are reviewed. Setting needed data-centred groundwork for library AI services enables research, data and media towards wider global online AI possibilities. Library AI external scholarly communications services are discussed as well as educational methodologies involving incremental steps for foundational AI scaffolding. Bootstrapping tools build on present systems and allow for the later enablement of future AI insights. Pathways are clarified from data collection to data cleaning, analytics and data visualization to AI applications. Focused steps needed are forwarded to move library staff, research faculty and graduate students towards these new AI possibilities. Data-centred ecosystems, retooling and building on present library staff expertise are reviewed. Data research repositories, algorithmic and programmatic literacy are recommended for later AI possibilities. Preliminary AI library working groups and R&D prototype methodologies for scaling up future library services and human resource infrastructures are considered. Recommended emergent pathways are prescribed to create library AI infrastructures to better prepare for a currently occurring global AI paradigm shift.
dc.description.departmentUniversity Libraries
dc.formatImage
dc.format.extent37 pages
dc.format.medium1 file (.pdf)
dc.format.medium1 file (.pptx)
dc.identifier.citationUzwyshyn, R. (2022). Steps towards building library AI infrastructures: Research data repositories, scholarly research ecosystems and AI scaffolding. Presented at the New Horizons in Artificial Intelligence in Libraries IFLA WLIC 2022 Satellite Conference, Dublin, Ireland.
dc.identifier.urihttps://hdl.handle.net/10877/16039
dc.publisherInternational Federation of Library Associations
dc.sourceNew Horizons in Artificial Intelligence in Libraries, International Federation of Library Associations and Institutions (IFLA) Satellite Conference, July 2022, National University of Ireland, Galway, Ireland.
dc.subjectartificial intelligence
dc.subjectdeep learning
dc.subjectlibrary HR infrastructures
dc.subjectresearch data repositories
dc.subjectresearch libraries
dc.subjectresearch ecosystems
dc.subjectmachine learning
dc.subjectneural networks
dc.titleSteps Towards Building Library AI Infrastructures and Programs: Research Data Repositories, Scholarly Research Ecosystems and AI Scaffolding
dc.typePresentation

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