Insights in the stacks : leveraging data analytics for enhanced public library services
dc.contributor.advisor | Lankes, R. David, 1970- | |
dc.contributor.committeeMember | Howison, James | |
dc.creator | Schimmel, Madison Leigh | |
dc.date.accessioned | 2024-07-30T02:09:05Z | |
dc.date.available | 2024-07-30T02:09:05Z | |
dc.date.created | 2024-05 | |
dc.date.issued | 2024-05 | |
dc.date.submitted | May 2024 | |
dc.date.updated | 2024-07-30T02:09:05Z | |
dc.description.abstract | This report aims to explore the application of data analytics in the public library sector. Through a comprehensive literature review and a targeted survey of Texas public librarians, the study seeks to evaluate the current utilization of data analytics methods, understand librarian perceptions and challenges, and identify opportunities for improving library services. Anticipated outcomes include a better understanding of how data analytics can optimize public library operations, facilitate informed decision-making processes, and the identification of necessary resources for librarians to implement data-driven strategies. By bridging the gap between data science and library science, this research endeavors to contribute valuable insights to the field, empower public libraries to maximize their impact on their communities, and adapt to the evolving needs of patrons in the digital age. Through dissemination of findings, this study also seeks to foster collaboration and knowledge-sharing among library professionals, facilitating continuous improvement and innovation in the public library sector. | |
dc.description.department | Information | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | ||
dc.identifier.uri | https://hdl.handle.net/2152/126311 | |
dc.identifier.uri | https://doi.org/10.26153/tsw/52848 | |
dc.language.iso | English | |
dc.subject | Library science | |
dc.subject | Strategic planning | |
dc.subject | Public library | |
dc.subject | Data librarianship | |
dc.subject | Texas libraries | |
dc.subject | Data analytics | |
dc.subject | Library statistics | |
dc.subject | Data-driven decision-making | |
dc.subject | Resource allocation | |
dc.subject | Library services | |
dc.title | Insights in the stacks : leveraging data analytics for enhanced public library services | |
dc.type | Thesis | |
dc.type.material | text | |
thesis.degree.college | The University of Texas at Austin | |
thesis.degree.department | Information | |
thesis.degree.discipline | Information Studies | |
thesis.degree.grantor | The University of Texas at Austin | |
thesis.degree.name | Master of Science in Information Studies |
Access full-text files
Original bundle
1 - 1 of 1
Loading...
- Name:
- SCHIMMEL-PRIMARY-2024.pdf
- Size:
- 442.31 KB
- Format:
- Adobe Portable Document Format