Abstract: The standardization of smart elderly care data resources has become a core issue in promoting the high-quality development of elderly care services. However, China’s current standards system for smart elderly care data resources remains incomplete, suffering from headaches such as missing standards, overlapping standards, and lagging updates, which constrain the full realization of data element value. To address this issue, the Weillman theoretical model can be referenced and expanded to construct a three-dimensional conceptual model for smart elderly care data resource standards. This model integrates a standard hierarchy dimension (national, industry, local, group), an application scenario dimension (home-based, community-based, institutional), and a data resource dimension (foundational, developmental, managerial, utilization). Based on the correlation between existing standards and the core elements of data resources, China’s current smart elderly care standards can be classified into two categories: strongly related and weakly related. By mapping the existing standards system onto the smart elderly care data resource standards framework, three core problems can be identified: a lack of top-level design, structural imbalance, and content conflicts. To promote the scientific, healthy, and sustainable development of the smart elderly care data resource standards system, it is imperative to strengthen top-level design and organizational safeguards, advance standards development and dynamic maintenance, and reinforce the implementation and guarantee mechanisms for standards.

Key words: smart elderly care, data resources, standards framework, data elements, metadata