Anguiano, Jennifer
Kim, M. (2022). New Method for Museum Archiving: “Quantitative Analysis Meets Art History.” Journal on Computing and Cultural Heritage, 15(4), 1–17. https://doi.org/10.1145/3531018
Summary:
Kim's New Method for Museum Archiving: “Quantitative Analysis Meets Art History” explores the intersection of data-driven methodologies and traditional art historical approaches in museum archiving. The study introduces quantitative analysis as a tool to enhance the classification, preservation, and accessibility of museum collections. By integrating computational techniques, such as image processing and visualization, the research aims to improve the efficiency of archival systems while maintaining the integrity of historical narratives.
The article highlights the challenges of conventional museum archiving, emphasizing the need for structured data frameworks to support curatorial decisions. Kim argues that quantitative analysis can complement art history, offering new perspectives on collection management and historical interpretation. This approach promotes a more innovative and adaptable archival system, ensuring that museums can effectively document and analyze their collections in the digital age.
Evaluation/Opinion:
As a scholar who has only received traditional art history teachings, the idea of mixing it with data-driven methods feels exciting yet nerve-wrecking. Usually, studying art is all about interpretation, symbolism, and cultural context, as opposed to crunching numbers and running algorithms. It almost feels like the number aspect of data, would take away the human, emotional response to understanding artworks. However, if there is a new way to increase the organization and accessibility of a collection, it might be in the best interest of art historians to adapt. If museum administrators can use data tools to track artworks, spot trends or preserve items better, that could help their staff do their jobs more efficiently. The question is will it add value to traditional art history or end up shifting the focus too much towards numbers.
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