Unstructured data and archaeology: the use of large datasets in archaeological research

Taylor, Abigail Felicity ORCID: 0000-0003-2039-3334 (2020). Unstructured data and archaeology: the use of large datasets in archaeological research. University of Birmingham. Ph.D.

Preview

Taylor2020PhD.pdf
Text - Accepted Version
Available under License All rights reserved.
Download (44MB) | Preview

Taylor2020PhD_appendices.zip
Archive - Accepted Version
Available under License All rights reserved.
Download (456MB)

Preview

Taylor2020PhD_erratumnotice.pdf
Text - Supplemental Material
Available under License All rights reserved.
Download (78kB) | Preview

Abstract

This thesis demonstrates the utility of unstructured data for archaeological research using the example of the Portable Antiquities Scheme (PAS). The aim was achieved using a two-part methodology. Firstly, the longue durée was assessed using the whole dataset and key periods of difference from overall trends identified.

Secondly, the data were reduced to a case study period, building on previous work by going beyond distribution maps and analysis of settlement patterns. The greater statistical power of such a large dataset was exploited using analysis of categories of finds to determine whether there were statistically significant differences in the make-up of finds assemblages.

Overall, the research demonstrated the utility of PAS data and its usefulness in terms of the long durée and nationwide trends. It also demonstrated that the data can provide coarse-grained analysis of a period and a broad overview of regionality. Limitations were identified, namely that a lack of secure dating, specific artifact type identification and association with other archaeological material hinder the ability to conduct detailed analysis. As the data is used on more micro-levels, the limitations on the data become more prevalent.

Type of Work:

Thesis (Doctorates > Ph.D.)

Award Type:

Doctorates > Ph.D.

Supervisor(s):