The impact of human decision-making on the research value of archaeological data

[thumbnail of Open Access]
Preview
Text (Open Access)
- Published Version
· Available under License Creative Commons Attribution.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Lewis, M., Oksanen, E. ORCID: https://orcid.org/0000-0002-7468-9256, Ehrsten, F., Rantala, H., Tuominen, J. and Hyvönen, E. (2025) The impact of human decision-making on the research value of archaeological data. Journal on Computing and Cultural Heritage, 18 (3). 47. ISSN 1556-4711 doi: 10.1145/3736770

Abstract/Summary

‘Good data in, good data out’ is a well-known adage, often used to consider the ‘precision’ of data entry rather than other human activity when inputting information into a database. These could be omissions or errors, but are just as likely to be inconsistencies in data recording. This is especially relevant when thinking about the efficiencies that recorders might make (i.e., to make their work easier) and what this could mean for end users (e.g., researchers). For example, a recorder of an archaeological object might do things differently based on their knowledge or understanding of the value of recording certain types of data (e.g., the various characteristics of the object) and how this information is likely to be used by others. With this in mind, this article will consider the research question of how can advancing Findable, Accessible, Interoperable, Reusable (FAIR) principles be used to contextualise the impact of human decision-making on the research value of archaeological data, taking (as a test case) the Portable Antiquities Scheme (PAS) database of archaeological finds from England and Wales. The methodology used here examines data recorded within the PAS database directly and through a separate web application demonstrator (PASampo) that is being developed. The latter, in particular, enables ease-to-use visualisation of the data to provide an analytical evaluation of how data is inputted into the PAS database and, more significantly, how the researcher might extract this data. Through a series of case studies exploring aspects of material culture, we will highlight how data quality is affected by human decision-making alongside elements of the database framework. We will then argue that this provides the basis for new learning alongside adopting FAIR principles that could benefit the development of a wide range of future archaeological and cultural heritage databases, including the PAS database itself.

Altmetric Badge

Item Type Article
URI https://centaur.reading.ac.uk/id/eprint/127630
Identification Number/DOI 10.1145/3736770
Refereed Yes
Divisions Science > School of Archaeology, Geography and Environmental Science > Department of Archaeology
Publisher ACM
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record