Abstract:

[Purpose/Significance] As digital technology continues to reshape the preservation and utilization of cultural heritage, the study of the value co-creation of cultural heritage data resource has gained increasing importance. The growing significance of cultural heritage data, coupled with advancements in digital tools such as big data, artificial intelligence, and virtual reality, require a deeper understanding of the collaborative processes that create value. This research focuses on the value co-creation mechanism of cultural heritage data resources, aiming to offer new perspectives on how diverse stakeholders, including cultural heritage institutions, digital technology providers, and the public, interact dynamically across different stages of data resource management. By proposing a three-dimensional analysis framework based on "stages-subjects-scenarios," this study not only enhances the understanding of the co-creation process, but also contributes to the academic field by exploring the role of different stakeholders in different contexts. The innovation lies in the application of this framework to analyze the specific mechanisms of value co-creation, highlighting the different involvement levels of stakeholders in various stages of data management and usage. The study provides practical implications for improving the management and utilization of cultural heritage data resources, particularly in the context of fostering interdisciplinary collaboration and community engagement. [Method/Process] The study takes an integrated approach, combining case analysis, stakeholder theory, and qualitative research methods, with a particular focus on expert interviews and case study reviews. Through a systematic review of both domestic and international examples, the research explores how different phases of data management - such as data collection, integration, sharing, and application - unfold in practice. The case studies were selected using a multi-source approach, which includes authoritative recommendations, literature reviews, and online surveys to ensure a diverse set of representative projects. We analyzed each case to identify the key stages and stakeholders, and how they interact within specific application scenarios. The theoretical foundation is grounded in stakeholder theory and value co-creation frameworks, while empirical evidence was drawn from ongoing projects in the digital humanities and cultural heritage fields. Using this combination of theoretical and empirical sources, the research developed a thorough understanding of how value co-creation mechanisms evolve and manifest in the context of cultural heritage data management contexts. [Results/Conclusions] The research reveals that the value co-creation of cultural heritage data resources involves multiple stakeholders, each contributing differently at various stages of the process. The identified stages include data collection, integration, sharing, application, and dissemination, each with distinct stakeholder involvement. Key stakeholders include cultural heritage institutions, digital technology providers, content creators, government bodies, and the public, each playing a critical role at different phases. For instance, cultural heritage institutions are central during the data collection and preservation stages, while content creators and developers take a more prominent role during the application and innovation stages. The research also identifies that stakeholder participation varies across different application scenarios, such as digital exhibitions, educational projects, and creative industries. The study concludes that achieving effective value co-creation requires a flexible, collaborative approach, tailored to the specific needs of each stage and scenario. Recommendations for future practice include improving collaboration between stakeholders, encouraging public participation, and establishing clearer frameworks for data governance and intellectual property rights.

Key words: cultural heritage, data resources, value co-creation, data elements, library digital collections