The acquisition of physical artifacts not only involves transferring existing information into the digital ecosystem but also generates information as a process itself, underscoring the importance of meticulous management of FAIR data and metadata. In addition, the diversity of objects within the cultural heritage domain is reflected in a multitude of descriptive models. The digitization process expands the opportunities for exchange and joint utilization, granted that the descriptive schemas are made interoperable in advance. To achieve this goal, we propose a replicable workflow for metadata schema crosswalks that facilitates the preservation and accessibility of cultural heritage in the digital ecosystem. This work presents a methodology for metadata generation and management in the case study of the digital twin of the temporary exhibition "The Other Renaissance - Ulisse Aldrovandi and the Wonders of the World". The workflow delineates a systematic, step-by-step transformation of tabular data into RDF format, to enhance Linked Open Data. The methodology adopts the RDF Mapping Language (RML) technology for converting data to RDF with a human contribution involvement. This last aspect entails an interaction between digital humanists and domain experts through surveys leading to the abstraction and reformulation of domain-specific knowledge, to be exploited in the process of formalizing and converting information.

翻译：物理实物的获取不仅涉及将既有信息迁移至数字生态系统，其过程本身也会产生新信息，这凸显了对FAIR数据与元数据进行精细化管理的重要性。此外，文化遗产领域内对象的多样性体现在多种描述模型中。数字化过程扩展了交换与联合利用的机遇，前提是描述性模式需事先实现互操作。为实现此目标，我们提出一种可复现的元数据模式交叉映射工作流，以促进文化遗产在数字生态系统中的保存与可访问性。本研究以临时展览"另一场文艺复兴——乌利塞·阿尔德罗万迪与世间奇观"的数字孪生为案例，提出元数据生成与管理方法。该工作流系统化地定义了将表格数据逐步转换为RDF格式的步骤，以增强关联开放数据。该方法采用RDF映射语言（RML）技术，通过引入人工协作实现数据至RDF的转换。这一环节涉及数字人文学者与领域专家通过问卷开展互动，最终抽象并重构特定领域知识，用于信息形式化与转换流程。