A Systems-Thinking Model of Data Management and Use in US Archaeology

Overview Archaeology in the United States is caught in a “curation crisis” (Childs 1995; Childs and Warner 2019; Marquardt et al. 1982; SAA Advisory Committee on Curation 2003; Trimble and Marino 2003) and a “digital data crisis” (or “deluge”) more specifically (Bevan 2015; Clarke 2015; Kansa and Kansa 2021; Katsianis et al. 2022; Kersel 2015; McManamon et al. 2017:239–240; Rivers Cofield et al. 2024). Recent estimates suggest that, collectively, over 1.4 billion dollars are spent annually to support archaeological work that is mandated by federal law (SRI Foundation 2020). Although substantial efforts are underway to generate and provide mechanisms for managing, curating, and sharing the resultant digital data, we suggest that a critical step that has yet to be taken is to describe and visualize the components, connections, and causal dynamics of the US digital data system as it currently functions. Here, we specifically apply a “systems thinking” approach to produce such a high-level model of this system. We argue that understanding and visualizing this system will help us all “think bigger” (Heilen and Manney 2023); identify sources of knowledge, opportunities for critical analysis, collaboration, and capacity building; and increase much-needed archaeological digital literacy (Kansa and Kansa 2022). We conceptualize this as bringing “equilibrium” to the system, and in this article, we make several suggestions on how to bring this about. These insights can enable practitioners to better understand their roles in and contributions to the overall system and to evaluate efforts to improve data sharing, management, and curation practices not only within their organizations and departments but beyond.