Insights in the stacks : leveraging data analytics for enhanced public library services

dc.contributor.advisorLankes, R. David, 1970-
dc.contributor.committeeMemberHowison, James
dc.creatorSchimmel, Madison Leigh
dc.date.accessioned2024-07-30T02:09:05Z
dc.date.available2024-07-30T02:09:05Z
dc.date.created2024-05
dc.date.issued2024-05
dc.date.submittedMay 2024
dc.date.updated2024-07-30T02:09:05Z
dc.description.abstractThis 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.departmentInformation
dc.format.mimetypeapplication/pdf
dc.identifier.uri
dc.identifier.urihttps://hdl.handle.net/2152/126311
dc.identifier.urihttps://doi.org/10.26153/tsw/52848
dc.language.isoEnglish
dc.subjectLibrary science
dc.subjectStrategic planning
dc.subjectPublic library
dc.subjectData librarianship
dc.subjectTexas libraries
dc.subjectData analytics
dc.subjectLibrary statistics
dc.subjectData-driven decision-making
dc.subjectResource allocation
dc.subjectLibrary services
dc.titleInsights in the stacks : leveraging data analytics for enhanced public library services
dc.typeThesis
dc.type.materialtext
thesis.degree.collegeThe University of Texas at Austin
thesis.degree.departmentInformation
thesis.degree.disciplineInformation Studies
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.nameMaster of Science in Information Studies

Access full-text files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SCHIMMEL-PRIMARY-2024.pdf
Size:
442.31 KB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
proquest_license.txt
Size:
6.38 KB
Format:
Plain Text
Description: