Show me the (publication) data: A case study of author affiliation publication data sources used in transformative agreements assessment at a mid-sized institution

Author(s)

• Amy Pham, University of San DiegoFollow

Document Type

Poster

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

Publication Date

3-3-2026

Disciplines

Library and Information Science

Description, Abstract, or Artist's Statement

Bibliometrics has become an increasingly important metric type for negotiating and assessing transformative agreements, particularly corresponding author data. This case study from the University of San Diego compares OpenAlex, Web of Science, and publisher-provided data using real examples of publication data for TA assessment. Even at a mid-sized institution such as USD, the accuracy and completeness of publication information differs between data sources and brings into question ongoing issues with disambiguation and institution affiliation.

Notes

A presentation summary document is included with this poster presentation.

Presented at ER&L 2026 in Austin, TX.

Digital USD Citation

Pham, Amy, "Show me the (publication) data: A case study of author affiliation publication data sources used in transformative agreements assessment at a mid-sized institution" (2026). Copley Library: Faculty Scholarship. 49.
https://digital.sandiego.edu/library_facpub/49