Low-code and ai-augmented Code for an Archaeological Database: Arkas 2.0

Abstract

This data paper presents Arkas 2.0, a national research database and research infrastructure containing data on all archaeological sites and monuments in Slovenia. The new database is a hybrid cloud microservice built on low-code platforms (Caspio and ArcGIS Experience builder) and augmented by generative ai (ChatGPT-3.5). The data paper describes the Arkas 2.0 dataset and how it fits into the research context by discussing the challenges archaeologists face in setting up and curating datasets and the associated digital infrastructure. In response to these challenges, the data paper highlights the benefits of low-code platforms and ai-augmented code for archaeological research. It also describes the Arkas 2.0 development workflow, its new data structure, and its archiving process. The data paper concludes by suggesting that the use of low-code platforms combined with generative ai can democratise access to cutting-edge digital research infrastructure, bringing positive disruption to archaeology and the humanities.