DAKit: A Proposal of a Static Digital Archive Generator for Low-Cost Data Sharing

Abstract

　In recent years, there has been an increasing demand for the sharing of materials in the humanities. On the other hand, constructing a digital archive requires knowledge of information technology and significant cost. This paper proposes a static site generation tool for domain experts to provide digital archives. The generated sites have client-side search, a flexible image viewer, and metadata output capabilities for interoperability. The tool is implemented in Jupyter Notebook format and runs on a Python runtime environment in the cloud, requiring only tabular metadata and images. Our method will enable and facilitate low-cost data sharing.