Honors Theses

Date of Award

Spring 5-8-2026

Document Type

Undergraduate Thesis

Department

Sociology and Anthropology

First Advisor

Jesse Tune

Second Advisor

Matthew Murray

Third Advisor

David Harrison

Relational Format

Dissertation/Thesis

Abstract

Archaeological databases, the foundation of archaeological analyses, have changed drastically alongside the rise of new digital tools in the twenty-first century. Digital databases, alongside other digital tools, must therefore be evaluated for their efficiency and effectiveness within the field. This thesis seeks to determine a set of best practices within large-scale digital archaeological databases through analyzing an existing example: The Paleoindian Database of the Americas (PIDBA). PIDBA is composed of multiple state-level datasets, a trait that both invited collaboration and creates discrepancies in data entry. Though examining both PIDBA's user-facing website and one of its most robust state-level datasets, the Tennessee Fluted Point Survey (TFPS), this thesis concludes that an effective large-scale archaeological database must consider digital data permanence, data and user privacy, the use of intellectual property, the use of volunteer labor, the collection of data, and how that data is represented within the database itself.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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