Workshop: Acquiring Commercial Data Sets for Library Collections: A Review of Related Issues
Location
KIPJ Room G
Session Type
Workshop
Start Date
29-4-2024 9:00 AM
End Date
29-4-2024 12:00 PM
Abstract
This session is designed to bring together librarians and collection strategists who are responsible for identifying, acquiring and licensing commercial data in all subjects. Commercial datasets often don’t fit into traditional processes such as selection, acquisition, licensing, discoverability, storage and archiving, and are often very expensive and therefore come with unique challenges and obstacles. New forms of scholarly communication actively include data, making this session particularly timely as requests for data content are increasing. Launching practices including those using various artificial intelligence applications contribute to the complexities of handling commercial data sets. This session will provide examples of workflows libraries use to purchase and acquire datasets, obstacles and challenges they experience, an interactive group case study to introduce alternate solutions to handling commercial data with discussion time to explore solutions and share ideas. Attendants will leave with a greater understanding of how libraries can respond to data requests and acquire in an efficient, expedient way so that users can find, analyze and use this data in their academic work.
Workshop: Acquiring Commercial Data Sets for Library Collections: A Review of Related Issues
KIPJ Room G
This session is designed to bring together librarians and collection strategists who are responsible for identifying, acquiring and licensing commercial data in all subjects. Commercial datasets often don’t fit into traditional processes such as selection, acquisition, licensing, discoverability, storage and archiving, and are often very expensive and therefore come with unique challenges and obstacles. New forms of scholarly communication actively include data, making this session particularly timely as requests for data content are increasing. Launching practices including those using various artificial intelligence applications contribute to the complexities of handling commercial data sets. This session will provide examples of workflows libraries use to purchase and acquire datasets, obstacles and challenges they experience, an interactive group case study to introduce alternate solutions to handling commercial data with discussion time to explore solutions and share ideas. Attendants will leave with a greater understanding of how libraries can respond to data requests and acquire in an efficient, expedient way so that users can find, analyze and use this data in their academic work.
Comments
Julia Gelfand has had an extensive career in academic libraries, mostly at the University of California where she has had different assignments in collections and STEM related activities. She is actively engaged in many professional associations including ACRL, IFLA, SSP, AAAS, International Conference on Grey Literature, among others; writes and lectures on related topics of STEM collections, Grey Literature, Scholarly Communications, Licensing, information literacy, global librarianship, entrepreneurship & innovation, and most recently AI in engineering education & technical communication. She was the recipient of the ACRL Academic/Research Librarian of the Year in 2021 and is a Fellow of the American Association for the Advancement of Science.
Cindy Elliott is the Collection Management Unit Lead and librarian at the University of Arizona Libraries. Her unit manages the acquisition of information resources including ebooks, journals, data, streaming video and databases. Cindy manages the day-to-day operations for the information resources budget and renewal processes as well. Cindy's research interests include collection management, acquisitions, licensing, collection assessment, and electronic resources management.