Survey Of Use Of Artificial Intelligence Applications In Academic Library Acquisitions Licensing
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| Author | : Primary Research Group |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023-10-02 |
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This study looks closely at how 27 academic libraries are using ChatGPT, Bard and AI-enabled Bing, as well as other AI applications, in library acquisitions and licensing. The study gives precise data on the extent of use of each applications, the amount of time librarians are spending on each, and pinpoints exactly what they are using it for. The report presents data on use for various facet of contract research and development, for data analysis, and for predicting library patron materials demand and preferences, among other uses. Survey respondents also discuss the impact of AI on their personal productivity, their current uses of the technology, and future plans.Just a few of this report's many findings are that:¿Approximately 27% of librarians at research universities in the sample used AI-enabled Bing in their acquisitions and licensing work.¿3.7% of the librarians sampled used AI applications for customized content or materials recommendations.¿Acquisitions and licensing librarians at colleges and universities with more than 31,000 students were spending 2% of their total work time using AI applications. Data in the report is broken out by numerous personal and institutional variables to enable better benchmarking.
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| Total Pages | : 0 |
| Release | : 2023 |
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| ISBN | : 9789798885174 |
| Author | : |
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| Total Pages | : 0 |
| Release | : 2023 |
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| ISBN | : 9789798885174 |
| Author | : Primary Research Group Inc. |
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| Total Pages | : 0 |
| Release | : 2023-08-03 |
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This study presents data from 23 colleges and universities about how they are using various artificial intelligence applications in academic library cataloging. The report gives separate data sets for Bard, AI-enabled Bing and ChatGPT, defining the extent and kind of use. The study also gives data for use of these programs for particular applications, such as for subject headings, descriptions, indexing, cataloging training and other uses. The data also explores the impact of use of these applications on other cataloging tools such as the Library of Congress Catalogers Desktop Developers Tool, MarcEdit and OCLC's Connexion. In addition, the report details exactly how much time catalogers are spending on AI tools, their level of overall satisfaction with them, and their plans for the future.Just a few of this 96-page report's many findings are that:¿For automatic subject heading assignment, 11.54% of the total sample reported usage, with no significant differences across demographic or institutional characteristics.¿Survey participants from the smallest colleges were more likely than those from larger ones to report high productivity increases resulting from AI use in cataloging.Half of all survey respondents report using ChatGPT in cataloging functions.The data is derived from a sample of 29 data librarians; it is presented in the aggregate and also broken out by institutional characteristics of the respondent's institutions such as enrollment sizes, Carnegie classes, public or private status, and tuition levels, as well as by some personal characteristics of the respondents, such as age, gender, and other variables.
| Author | : Senthilkumar, K.R. |
| Publisher | : IGI Global |
| Total Pages | : 388 |
| Release | : 2024-04-03 |
| Genre | : Computers |
| ISBN | : |
In an era marked by rapid technological progress, libraries find themselves at a crossroads grappling with the challenges posed by an information-rich yet digitally fragmented landscape. The conventional role of libraries, once the steadfast guardians of knowledge, faces disruption as we navigate through a sea of information abundance. This conundrum gives rise to a critical issue - how can libraries adapt and thrive in an environment dominated by the rapid evolution of artificial intelligence (AI)? AI-Assisted Library Reconstruction is a compelling solution that promises to breathe new life into these institutions, making them more dynamic, accessible, and efficient in the face of unprecedented challenges. This book addresses the pressing issues faced by libraries in the age of information technology. It doesn't merely scratch the surface; it delves deep into the heart of the matter, providing an exploration of the integration of artificial intelligence in the reconstruction and revitalization of libraries. Through an in-depth examination of technologies, methodologies, and applications, it offers a guide for libraries to not only survive but thrive in this technologically charged landscape.
| Author | : Primary Research Group |
| Publisher | : |
| Total Pages | : 78 |
| Release | : 2019 |
| Genre | : Academic libraries |
| ISBN | : 9781574407808 |
The study looks closely at how 42 academic libraries, mostly from research universities or other research-oriented institutions, seek out and purchase data sets for the general library collection and for use by particular academic departments. The 80-page study helps its readers to answer questions such as: how much do libraries spend on data acquisitions? How much do they plan to spend in the future? How do they decide which data acquisition requests to fund and which not? Do they have a data librarian? Which academic fields use the most data and make the most requests of the library? What percentage of requests are funded? When libraries and academic departments share costs of data acquisitions what is the split in costs? To what extent can data requests be met by existing collections of open access data sources that academic researchers may not be initially aware of? How do negotiations to purchase or license data differ from negotiations for other forms of content? The data in the report is broken out by many variables including size and type of college, tuition levels, enrollment levels and other variables. Data is broken out separately for R1 and R2 universities, for graduate professional schools, as well as for other types of institutions. The study includes data for 14 RI and 7 R2 institutions, as well as for many graduate professional schools. Some participants include Auburn, MIT, Claremont Colleges, Princeton, the University of Toronto, Georgetown, USC and the University of Calgary, among others.
| Author | : Khamis, Iman |
| Publisher | : IGI Global |
| Total Pages | : 324 |
| Release | : 2024-05-06 |
| Genre | : Language Arts & Disciplines |
| ISBN | : |
With the constant evolution of technology, libraries must grapple with the urgent need to adapt or face obsolescence. The integration of artificial intelligence (AI) into library operations presents many new opportunities as well as a complex array of challenges. The traditional roles of libraries, as pillars of knowledge and information, are being reshaped by AI, compelling institutions to reassess their relevance in an ever-evolving digital landscape. The urgency of this intersection between libraries and AI is emphasized by the necessity to revolutionize outdated systems, and it is in this dynamic context that Applications of Artificial Intelligence in Libraries emerges as an essential guide. The book addresses the ethical implications of AI-enabled libraries, offering strategies for navigating privacy concerns and potential challenges in the implementation of AI. It serves as a strategic guide for evaluating the impact and effectiveness of AI initiatives, developing policies and practices centered around AI, and training librarians for the inevitable integration of AI into their roles. By fostering collaboration between librarians, researchers, and AI experts, this book aims to empower professionals to navigate the transformative journey that AI is ushering in for libraries, fostering innovation, collaboration, and the creation of more effective and user-centric library services.
| Author | : Primary Research Group |
| Publisher | : Primary Research Group Inc |
| Total Pages | : 89 |
| Release | : 2013 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 157440248X |
The study looks closely at the database licensing practices of major academic and research libraries, examining issues such as disputes with vendors, purchasing plans, spending volume, impact of open access journals, staff time related to database purchases, and many other issues of interest to acquisitions and licensing librarians and others involved in intellectual property purchasing. Among the issues covered are: spending plans for ebooks, electronic directories, electronic journals, index databases; current and projected spending broken down by subject area; use of attorneys in disputes with database vendors, and much more.
| Author | : Judith M. Nixon |
| Publisher | : Routledge |
| Total Pages | : 173 |
| Release | : 2014-01-02 |
| Genre | : Business & Economics |
| ISBN | : 1317985257 |
For over a decade, some academic libraries have been purchasing, rather than borrowing, recently published books requested by their patrons through interlibrary loan. These books had one circulation guaranteed and so appealed to librarians who were concerned about the large percentage of books selected and purchased by librarians but never checked out by their patrons. Early assessments of the projects indicated that patrons selected quality books that in many cases were cross disciplinary and covered emerging areas of scholarly interest. However, now we have a significant database of the ILL purchase records to compare these titles with books selected through normal methods. The projects described in this book present a powerful argument for involving patrons in the book selection process. This book looks at patron-driven acquisitions for printed books at Purdue University, the University of Nebraska-Lincoln and the University of Illinois, as well as exploring new programs that allow patrons to select e-books or participate in other innovative ways in building the library collections. This book was published as a special issue of Collection Management.
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| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : |
| ISBN | : 9789798885174 |
"This study presents data from a survey of 29 data librarians, primarily from research universities in the USA, Canada and Europe, about how they are using ChatGPT, Bard and AI-enabled Bing. The report lists the percentage of respondents using each of these applications, and what they are using them for. It also presents detailed data on how useful data librarians find each application, and the extent to which they have replaced or supplemented other applications commonly used by data librarians. Respondents also discuss their future plans and measure exactly how much more - or less - productive AI applications have made them. The report presents specific data sets for AI use for data cleanup, data visualization, data analysis, data discovery, hypotheses generation, summarizing data results and many other purposes. It also looks at the impact of AI on use of Excel, SAS, Minitab, Tableau, Python and other applications. Just a few of this 98-page report's many findings are that: -- In the entire sample, 17.24% of academic data librarians have used Bard in managing or procuring data, while 82.76% have not. -- Male respondents were considerably more likely than female ones to use AI for data visualization. -- Respondents from the smallest colleges were the most likely to use AI for data cleanup.The data is derived from a sample of 29 data librarians; it is presented in the aggregate and also broken out by institutional characteristics of the respondent's institutions such as enrollment sizes, Carnegie classes, public or private status, and tuition levels, as well as by some personal characteristics of the respondents, such as age, gender, and other variables".
