De-identified yet Insightful: Assessing Usage with Limited Demographic Data
| dc.contributor.author | Macken, Megan | |
| dc.contributor.author | Bodenhamer, Jenny | |
| dc.contributor.author | Parrett, Ana | |
| dc.contributor.author | Silverstein, Rebekah | |
| dc.date.accessioned | 2026-02-10T15:54:11Z | |
| dc.date.available | 2026-02-10T15:54:11Z | |
| dc.date.issued | 2025-11-21 | |
| dc.description.abstract | Patron privacy impels us to de-identify our library circulation data. Even so, the available data can reveal insights into equitable delivery and usage of resources, particularly e-resources. This presentation will demonstrate how Oklahoma State Libraries has begun examining usage alongside institutional analytics for a fuller understanding of how we can better serve all library patrons. | |
| dc.description.peerreview | No | |
| dc.identifier.citation | Parrett, A., Silverstein, R., Bodenhamer, J., Macken, M. (2025, November 21). De-identified yet insightful: assessing usage with limited demographic data [Conference session]. OK-ACRL 2025 Annual Conference, Oklahoma City, OK, United States. | |
| dc.identifier.orcid | 0000-0003-1182-5086 (Macken Megan) | |
| dc.identifier.orcid | 0009-0006-4551-164X (Jenny Bodenhamer) | |
| dc.identifier.orcid | 0009-0000-2995-0112 (Rebekah Silverstein) | |
| dc.identifier.uri | https://shareok.org//handle/11244/341840 | |
| dc.relation.ispartofseries | OK-ACRL 2025 Annual Conference | |
| dc.rights | All rights reserved by the author, who has granted UCO Chambers Library the non-exclusive right to share this material in its online repositories. Contact UCO Chambers Library's Digital Initiatives Working Group at diwg@uco.edu for the permission policy on the use, reproduction or distribution of this material. | |
| dc.subject.keywords | Data privacy | |
| dc.subject.keywords | Library usage statistics | |
| dc.subject.keywords | CELUS statistics | |
| dc.subject.keywords | E-textbook usage | |
| dc.subject.keywords | Data ethics | |
| dc.subject.keywords | Data visualization | |
| dc.subject.keywords | Data cleaning | |
| dc.title | De-identified yet Insightful: Assessing Usage with Limited Demographic Data | |
| dc.type | Presentation |