From Code to Community: FAIR4RS Practices in Computational Archaeology

Research software plays an increasing role in the context of (Digital) Humanities and Computational Archaeology in supporting the analysis of vast and ever-growing data. So far, most tools have been created ad-hoc to test a hypothesis, but this does not comply with modern objective research practices. Instead, well-designed and proven tools and methods are needed that allow reproducible and well-structured results. Tools must be equally accessible and FAIR as the data itself, in compliance with the standard right of access to and participation in culture. This toolkit comprises cluster analysis for archaeological finds, using AI techniques to detect archaeological sites on satellite images or classify Celtic coins. All these approaches are designated using different tools, programming methods and methodologies. This paper gives an insight into Computational Archaeology (Archaeoinformatics) with FAIRification Tools related to NFDI4Objects, R \& Python Scripts and applying AI Technologies in the context of Computer Applications and Quantitative Methods in Archaeology's (CAA) German chapter (CAA-DE).