The Industry and Data/Contents Subcommittee has organized “DA Short Talk/Find the Seeds of industrialization of DA!” since May 2022. Looking back on them, I will first examine why industrialization and marketization of DA is necessary. Next, focusing on the “technological progress and diversification” identified in the industrialization map created by the Short Talk text analysis, I examined how AI and blockchain technologies could facilitate the marketization of DA. DA has potential for marketability as a learning material for AI. Also, I showed that these technologies have the potential to reduce the cost of building DAs and to facilitate their marketization through increasing the value of DAs.

The ukiyo-e series "The Sixty-nine Stations of the Kisokaido" depicts landscapes along the Nakasendo route from Tokyo to Kyoto. Both Japanese and international visitors explore these sites inspired by the ukiyo-e. Trading of ukiyo-e collections, exhibitions, events, and merchandise sales are actively conducted. This report details a regional revitalization project and marketization scheme focused on leveraging Blockchain Digital Archives (BDA) to preserve ukiyo-e depicting the Nakasendo, alongside contemporary landscapes and various relevant information. By managing these assets digitally for diverse applications, the initiative aims to stimulate the circulation of data, the exchange of people and culture, and economic activity, ultimately expanding the market within the involved regions.

Regarding the current state of data mining in publishing, looking back on the process of digitization in collaboration with printing houses, using the 20 volumes of Shogakukan's Complete Works of Japanese Art, 2012～16, as an example. I want to highlight the critical business situation that art books face and the obstacles to their e-book sales, and consider the possibility to operate their digital archives just completed, then build business plans. Compared to Europe and the U. S., which are more advanced in the respect of intellectual property law, it is still difficult to use works of Japanese art in publishing when the copyright protection has expired. As a solution, I propose restrictive provisions so that digital archives can become a part of the public interest.

This paper outlines the background, functions, and ongoing development of the AJC-CMS (All Japan CableTV Contents Management System), a cross-industry content distribution platform established by the Japan Cable Television Federation. Designed as a collaborative platform, AJC-CMS enables the nationwide distribution and effective utilization of regionally produced content, thereby improving content searchability and reliability, streamlining operations, and supporting monetization. The success of collaborative initiatives such as the “Cable Nippon Project,” which leverages AJC-CMS, along with the integration of AI technologies and automated translation, has opened new possibilities for promoting local attractions both nationally and globally. These developments also contribute to the creation of value through digital archiving.

The Industry and Data Content Subcommittee has been compiling presentation materials from the DA Short Talks held since 2022. Using text analysis techniques, the subcommittee has extracted key issues and discussion points, publishing the results on its website along with a two-dimensional map. Details of this initiative, including its structure and analytical methods, were reported in Volume 7, Issue 3 of this journal. However, due to the significant increase in data volume over the past two years, this special feature provides an updated summary at the end of this issue. Readers are encouraged to consult the website in conjunction with the previous report.

The purpose of this paper is to propose and evaluate a learning model for Japanese classical literature using digital archives. The model enhances text comprehension by repeatedly comparing pictorial materials with classical texts. Its effectiveness was tested in university classes. The results confirmed that the model can be applied to both The Tale of the Heike and The Tale of the Bamboo Cutter. Student feedback indicated that the model helps supplement information from pictorial materials, deepening text understanding. Furthermore, the study suggests that this approach can promote exploratory learning using the texts and pictorial materials.

This study examines issues in creating Archival Information Packages (AIP) for long-term digital preservation based on the reference model for an Open Archival Information System (OAIS), an international standard. Using the “Management System for Material Images' Digitalization” at the Historiographical Institute of the University of Tokyo as a case study, the system's metadata was mapped to AIP elements. As a result, three key challenges were identified: 1) describing and packaging technical metadata considering preservation plans, workflows, and interoperability; 2) clarifying contextual and historical information for authenticity; and 3) determining the manageable scope of related information. The significance of this study lies in verifying the abstract concept of AIPs through concrete examples and clarifying the challenges that arise in their creation.

Towards the construction of digital archives in libraries of small municipalities, a survey was conducted on the installation rates of digital archives in public libraries categorized by the size of the municipality, based on research by saveMLAK. Additionally, digital archives were classified from the perspective of public libraries as providers, revealing the relationship between this classification and the installation rates categorized by municipality size. As a result, digital archive installations were found to be fewer in small municipalities, with many of them resorting to utilizing municipal websites and similar platforms for introducing digital archives. Taking this into account, an analysis of previous cases in constructing digital archives in small municipalities was conducted, and future prospects were considered.

This study aimed to improve the efficiency of metadata creation in digital archive construction. Using actual data from the "Kenzaburo Oe Library Digital Manuscript Archive," we reproduced the process of associating data sets through multiple methods and evaluated the consistency with expert-generated results. We compared and verified several methods, including exact bibliographic matching, string similarity comparison, and approaches utilizing large language models (LLMs). The results indicated that the methods using LLMs and exact matching of publication dates demonstrated a high accuracy rate. On the other hand, the method using LLMs faced the challenge of longer processing times. Based on these findings, we demonstrated that combining multiple methods can improve the balance between accuracy and processing time.